[en] Facing the escalating threat of climate change, marked by shifts in weather patterns and exacerbated by human activities, agriculture encounters unprecedented challenges, posing a substantial risk to global food security. The chapter commences with a thorough exploration of the concept of climate stress, followed by a discussion on traditional approaches to mitigating this stress. The rise in atmospheric CO[[inf]]2[[/inf]] concentration and its greenhouse effects undergo examination, underscoring the pressing need to address these environmental transformations. Centering on specific challenges emanating from abiotic stressors such as drought, waterlogging, temperature extremes, and salinity, the chapter scrutinizes their impact on agricultural yields and productivity. It emphasizes the imperative shift towards climate-smart crops and delves into the paradigm shift in research and breeding methodologies, aiming to enhance plant resilience while minimizing resource consumption. A critical analysis of current agricultural practices unveils sustainability issues, prompting a discourse on innovative breeding techniques, precision agriculture, and digital applications bolstered by artificial intelligence. These technological advances present promising solutions to mitigate the effects of climate stress, enhance resource efficiency, and ensure resilient agricultural yields under diverse climatic conditions. The chapter underscores the urgent need for transformative measures to counter the projected decline in agricultural production due to climate change. It advocates for a comprehensive global strategy integrating smart water and nutrient management practices, biotechnology, genetic engineering, and climate-smart agriculture. The collaborative adoption of these approaches is crucial for establishing a sustainable and equitable food security system capable of meeting the challenges of the twenty-first century.
Disciplines :
Agriculture & agronomy
Author, co-author :
Farhaoui, Abdelaaziz; Phytopathology Unit, Department of Plant Protection and Environment, Ecole Nationale d’Agriculture de Meknès, Meknès, Morocco
Khadiri, Mohammed; Phytopathology Unit, Department of Plant Protection and Environment, Ecole Nationale d’Agriculture de Meknès, Meknès, Morocco ; Laboratoire de Biotechnologies Microbiennes et Protection des Végétaux, Faculté des Sciences, Université Ibn Zhor, Agadir, Morocco
Boutagayout, Abdellatif; Phytopathology Unit, Department of Plant Protection and Environment, Ecole Nationale d’Agriculture de Meknès, Meknès, Morocco
Assouguem, Amine; Phytopathology Unit, Department of Plant Protection and Environment, Ecole Nationale d’Agriculture de Meknès, Meknès, Morocco ; Ethnopharmacology and Pharmacognosy Team, Faculty of Sciences and Technology, Errachidia, Moulay Ismaïl University, Meknès, Morocco
Lahlali, Rachid; Phytopathology Unit, Department of Plant Protection and Environment, Ecole Nationale d’Agriculture de Meknès, Meknès, Morocco
Kouighat, Mohamed; Research Unit of Plant Breeding and Plant Genetic Resources Conservation, Regional Agricultural Research Center of Meknes, National Institute of Agricultural Research, Rabat, Morocco
El Jarroudi, Moussa ; Université de Liège - ULiège > Département des sciences et gestion de l'environnement (Arlon Campus Environnement) > Eau, Environnement, Développement
Language :
English
Title :
Innovative Approaches to Alleviate Climate Stress in Crop Production
Aasim M Katirci R Baloch FS Mustafa Z Bakhsh A Nadeem MA Ali SA Hatipoğlu R Çiftçi V Habyarimana E Innovation in the breeding of common bean through a combined approach of in vitro regeneration and machine learning algorithms Frontiers in Genetics 2022 13 1:CAS:528:DC%2BB38XisVSqurnF 36092939 9451102 897696
Abioye AE Abidin MSZ Mahmud MSA Buyamin S Mohammed OO Otuoze AO Oleolo IO Mayowa A Model based predictive control strategy for water saving drip irrigation Smart Agricultural Technology 2023 4 100179
Abobatta WF The influence of climate change on interactions between environmental stresses and plants Plant stress mitigators 2023 Elsevier 425 434 https://www.sciencedirect.com/science/article/pii/B9780323898713000215
Acharya VV Berner R Engle R Jung H Stroebel J Zeng X Zhao Y Climate stress testing Annual Review of Financial Economics 2023 15 1 291 326 10.1146/annurev-financial-110921-101555
Adeyemi O Grove I Peets S Domun Y Norton T Dynamic neural network modelling of soil moisture content for predictive irrigation scheduling Sensors 2018 18 10 3408 30314346 6210977
Adger WN Arnell NW Tompkins EL Successful adaptation to climate change across scales Global Environmental Change 2005 15 2 77 86
Ahmed Z Gui D Murtaza G Yunfei L Ali S An overview of smart irrigation management for improving water productivity under climate change in drylands Agronomy 2023 13 8 2113 1:CAS:528:DC%2BB3sXhvVegur3L
Alamin AM Abdalla AH Yield; yield components for some chickpea (Cicer arietinum L.) genotypes as affected by water stress and sowing date Shahjalal University of Science and Technology Journal of Agriculture and Veterinary Science 2020 21 1 57 74 https://repository.sustech.edu/handle/123456789/25607
Allen RS Gregg CM Okada S Menon A Hussain D Gillespie V Johnston E Devilla R Warden AC Taylor M Byrne K Colgrave M Wood CC Plant expression of NifD protein variants resistant to mitochondrial degradation Proceedings of the National Academy of Sciences 2020 117 37 23165 23173 1:CAS:528:DC%2BB3cXhvVCjurbM 10.1073/pnas.2002365117
Alotaibi, M. (2023). Climate change, its impact on crop production, challenges, and possible solutions. Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 51(1), 13020. https://www.notulaebotanicae.ro.corten-garden.com/index.php/nbha/article/download/13020/9553
Altieri MA Nicholls CI The adaptation and mitigation potential of traditional agriculture in a changing climate Climatic Change 2017 140 1 33 45 10.1007/s10584-013-0909-y
Arunanondchai P Fei C Fisher A McCarl BA Wang W Yang Y How does climate change affect agriculture 2018 Routledge
Ashfaq MA Dinesh Kumar V Soma Sekhar Reddy P Anil Kumar C Sai Kumar K Narasimha Rao N Tarakeswari M Sujatha M Post-transcriptional gene silencing: Basic concepts and applications Journal of Biosciences 2020 45 1 128 1:CAS:528:DC%2BB3cXitlygt7zI 33184244 10.1007/s12038-020-00098-3
Ashraf AM Begam SN Ragavan T Defoliants harvest-aid chemicals: Cost effective technology to facilitate synchronized maturity for mechanical harvesting in cotton: A review Agricultural Reviews 2023 44 3 320 327 https://www.indianjournals.com/ijor.aspx?target=ijor:ar&volume=44&issue=3&article=005
Bachour R Walker WR Torres-Rua AF McKee M Closure to “Assessment of reference evapotranspiration by the Hargreaves method in the Bekaa Valley, Lebanon” Journal of Irrigation and Drainage Engineering 2015 141 6 07014054
Balakrishna K Mohammed F Ullas CR Hema CM Sonakshi SK Application of IOT and machine learning in crop protection against animal intrusion Global Transitions Proceedings 2021 2 2 169 174 10.1016/J.GLTP.2021.08.061
Balla K Rakszegi M Li Z Bekes F Bencze S Veisz O Quality of winter wheat in relation to heat and drought shock after anthesis Czech Journal of Food Sciences 2011 29 2 117 128 1:CAS:528:DC%2BC3MXkvFGqt7Y%3D https://cjfs.agriculturejournals.cz/pdfs/cjf/2011/02/04.pdf
Barnawal D Singh R Singh RP Role of plant growth promoting rhizobacteria in drought tolerance: Regulating growth hormones and osmolytes PGPR amelioration in sustainable agriculture 2019 Elsevier 107 128 https://www.sciencedirect.com/science/article/pii/B9780128158791000069
Bauer, J., & Aschenbruck, N. (2018). Design and implementation of an agricultural monitoring system for smart farming. In 2018 IoT Vertical and Topical Summit on Agriculture-Tuscany (IOT Tuscany) (pp. 1–6). https://ieeexplore.ieee.org/abstract/document/8373022/
Belhaj K Chaparro-Garcia A Kamoun S Patron NJ Nekrasov V Editing plant genomes with CRISPR/Cas9 Current Opinion in Biotechnology 2015 32 76 84 1:CAS:528:DC%2BC2cXitVWku73I 25437637
Bellvert J Zarco-Tejada PJ Marsal J Girona J González-Dugo V Fereres E Vineyard irrigation scheduling based on airborne thermal imagery and water potential thresholds Australian Journal of Grape and Wine Research 2016 22 2 307 315
Bhattacharya A Bhattacharya IA Effect of low-temperature stress on germination, growth, and phenology of plants: A review Physiological processes in plants under low temperature stress 2022 Springer 1 106 10.1007/978-981-16-9037-2_1
Boch J Scholze H Schornack S Landgraf A Hahn S Kay S Lahaye T Nickstadt A Bonas U Breaking the code of DNA binding specificity of TAL-type III effectors Science 2009 326 5959 1509 1512 1:CAS:528:DC%2BD1MXhsFensbnL 19933107 10.1126/science.1178811
Bošković, J., & Žuža, M. (2019). Impact of genetically modified plants on the environment. Journal of Agronomy, 19. http://www.fimek.edu.rs/downloads/casopisi/jatem/issue/v2_4/02-(2)_Boskovic_and_Zuza_2019._Vol._2(4)_294–311.pdf
Boursianis AD Papadopoulou MS Diamantoulakis P Liopa-Tsakalidi A Barouchas P Salahas G Karagiannidis G Wan S Goudos SK Internet of things (IoT) and agricultural unmanned aerial vehicles (UAVs) in smart farming: A comprehensive review Internet of Things 2022 18 100187
Boutagayout A Belmalha S Rehali M Nassiri L Bouiamrine EH Agroecology as agricultural practices for sustainable management in North African countries International Journal of Plant Production 2023 17 3 389 436 10.1007/s42106-023-00251-6
Boutagayout, A., Bouiamrine, E. H., Nassiri, L., Rhioui, W., Bouabid, R., & Belmalha, S. (2023b). Integrated agroecological practices for sustaining weed management and improving faba bean (Vicia faba var. minor) productivity under low-input farming. International Journal of Pest Management, 1–13. https://doi.org/10.1080/09670874.2023.2240275
Bowles TM Mooshammer M Socolar Y Calderón F Cavigelli MA Culman SW Deen W Drury CF y Garcia AG Gaudin AC Long-term evidence shows that crop-rotation diversification increases agricultural resilience to adverse growing conditions in North America One Earth 2020 2 3 284 293 https://www.cell.com/one-earth/pdf/S2590-3322(20)30088-9.pdf
Brzozowski L Mazourek M A sustainable agricultural future relies on the transition to organic agroecological pest management Sustainability 2018 10 6 2023 https://www.mdpi.com/2071-1050/10/6/2023
Bwambale E Abagale FK Anornu GK Data-driven model predictive control for precision irrigation management Smart Agricultural Technology 2023 3 100074
Chachar M Ahmed S Murtazac G Jillanib PSANS Balocha H Hakroa RA The impact of climate change on horticulture: A global perspective and adaptation strategies Global Research in Environment and Sustainability 2023 1 10 19 27 https://www.researchgate.net/profile/Muzafaruddin-Chachar/publication/375697976_The_Impact_of_Climate_Change_on_Horticulture_A_Global_Perspective_and_Adaptation_Strategies/links/655873b6b86a1d521bf1fac7/The-Impact-of-Climate-Change-on-Horticulture-A-Global-Perspective-and-Adaptation-Strategies.pdf
Chambers S Kitney R Freemont P The Foundry: The DNA synthesis and construction Foundry at Imperial College Biochemical Society Transactions 2016 44 3 687 688 1:CAS:528:DC%2BC28Xps1Wmsb4%3D 27284027 4900743
Chaturvedi SK Mishra DK Vyas P Mishra N Breeding for cold tolerance in chickpea Trends in Biosciences 2009 2 2 1 4 https://www.academia.edu/download/32665404/2-2-TRENDS_IN_BIOSCIENCES-DEC-2009-FULLCOPY.pdf#page=7
Chawla R Balasaheb KS Optimizing water use efficiency and yield of wheat crops through integrated irrigation and nitrogen management: A comprehensive review International Journal of Environment and Climate Change 2023 13 11 4059 4067 http://scholar.sdpublishers.info/id/eprint/3296/
Chen X Qi Z Gui D Gu Z Ma L Zeng F Li L Sima MW A model-based real-time decision support system for irrigation scheduling to improve water productivity Agronomy 2019 9 11 686
Chen X Feng S Qi Z Sima MW Zeng F Li L Cheng H Wu H Optimizing irrigation strategies to improve water use efficiency of cotton in Northwest China using RZWQM2 Agriculture 2022 12 3 383
Chen Y Leng Y-N Zhu F-Y Li S-E Song T Zhang J Water-saving techniques: Physiological responses and regulatory mechanisms of crops Advanced Biotechnology 2023 1 4 3 1:CAS:528:DC%2BB2MXntlagsLs%3D 39883226 11727597 10.1007/s44307-023-00003-7
Chen Y Quan L Zhang X Zhou K Wu C Field-road classification for GNSS recordings of agricultural machinery using pixel-level visual features Computers and Electronics in Agriculture 2023 210 107937
Conesa MR Conejero W Vera J Agulló V García-Viguera C Ruiz-Sánchez MC Irrigation management practices in nectarine fruit quality at harvest and after cold storage Agricultural Water Management 2021 243 106519
Corbari C Salerno R Ceppi A Telesca V Mancini M Smart irrigation forecast using satellite LANDSAT data and meteo-hydrological modeling Agricultural Water Management 2019 212 283 294
Dagnaw, G. (2020). Artificial intelligence towards future industrial opportunities and challenges. In African Conference on Information Systems and Technology.
Debaeke, P., Casadebaig, P., Flenet, F., & Langlade, N. (2017). Sunflower crop and climate change: Vulnerability, adaptation, and mitigation potential from case-studies in Europe. OCL Oilseeds and Fats Crops and Lipids, 24(1), 15-p. https://hal.science/hal-01605844/
Devasirvatham V Gaur PM Raju TN Trethowan RM Tan DKY Field response of chickpea (Cicer arietinum L.) to high temperature Field Crops Research 2015 172 59 71 https://www.sciencedirect.com/science/article/pii/S0378429014003335
Dhaliwal DS Williams MM Evidence of sweet corn yield losses from rising temperatures Scientific Reports 2022 12 1 18218 1:CAS:528:DC%2BB38XivVWru7vM 36309594 9617927 https://www.nature.com/articles/s41598-022-23237-2
Dhankher OP Foyer CH Climate resilient crops for improving global food security and safety Plant, Cell & Environment 2018 41 5 877 884 10.1111/pce.13207
Dias, R. M., Marques, G., & Bhoi, A. K. (2020). Internet of things for enhanced food safety and quality assurance: A literature review. In International Conference on Emerging Trends and Advances in Electrical Engineering and Renewable Energy (pp. 653–663).
Domínguez-Niño JM Oliver-Manera J Girona J Casadesús J Differential irrigation scheduling by an automated algorithm of water balance tuned by capacitance-type soil moisture sensors Agricultural Water Management 2020 228 105880
Dron N Simpfendorfer S Sutton T Pengilley G Hobson K Cause of death: Phytophthora or flood? Effects of waterlogging on Phytophthora medicaginis and resistance of chickpea (Cicer arietinum) Agronomy 2021 12 1 89 https://www.mdpi.com/2073-4395/12/1/89
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., … Williams, M. D. (2021). Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/J.IJINFOMGT.2019.08.002
Eid S Abdrabbo M Developments of an expert system for on-farm irrigation water management under arid conditions Journal of Soil Sciences and Agricultural Engineering 2018 9 1 69 76
El-Naggar AG Hedley CB Horne D Roudier P Clothier BE Soil sensing technology improves application of irrigation water Agricultural Water Management 2020 228 105901
Engler C Youles M Gruetzner R Ehnert T-M Werner S Jones JDG Patron NJ Marillonnet S A Golden Gate modular cloning toolbox for plants ACS Synthetic Biology 2014 3 11 839 843 1:CAS:528:DC%2BC2cXhslygtrc%3D 24933124 10.1021/sb4001504
Ermakova M Osborn H Groszmann M Bala S Bowerman A McGaughey S Byrt C Alonso-Cantabrana H Tyerman S Furbank RT Expression of a CO2-permeable aquaporin enhances mesophyll conductance in the C4 species Setaria viridis eLife 2021 10 1:CAS:528:DC%2BB38XhtVOntbbJ 34842138 8648302 e70095
Fahad S Bajwa AA Nazir U Anjum SA Farooq A Zohaib A Sadia S Nasim W Adkins S Saud S Crop production under drought and heat stress: Plant responses and management options Frontiers in Plant Science 2017 8 1147 28706531 5489704 https://www.frontiersin.org/articles/10.3389/fpls.2017.01147/full??
FAO. (2016). AQUASTAT—FAO’s global information system on water and agriculture. FAO. http://www.fao.org/nr/water/aquastat/water_use/index.stm
Farhaoui A Tahiri A Khadiri M El Alami N Lahlali R Fungal root rots of sugar beets: A review of common causal agents and management strategies Gesunde Pflanzen 2023 75 1 30
Farooq, M. U., Bashir, M. F., Khan, M. U. S., Iqbal, B., & Ali, Q. (2021). Role of crispr to improve abiotic stress tolerance in crop plants. Biological and Clinical Sciences Research Journal, 2021(1). http://bcsrj.com/ojs/index.php/bcsrj/article/view/69
Farooq, M. A., Ma, W., Shen, S., & Gu, A. (2022). Underlying biochemical and molecular mechanisms for seed germination. International Journal of Molecular Sciences, 23(15), 8502. https://www.mdpi.com/1422-0067/23/15/8502
Filipe, J., Śmiałek, M., Brodsky, A., & Hammoudi, S. (2020). Enterprise Information Systems: 21st International Conference, ICEIS 2019, Heraklion, Crete, Greece, May 3–5, 2019, Revised Selected Papers (Vol. 378). Springer Nature.
French AN Hunsaker DJ Sanchez CA Saber M Gonzalez JR Anderson R Satellite-based NDVI crop coefficients and evapotranspiration with eddy covariance validation for multiple durum wheat fields in the US Southwest Agricultural Water Management 2020 239 106266
Gakpey, E. E. (2022). Understanding the dynamics of climate change, migration and conflict: The Case of Bangladesh. https://scholar.uwindsor.ca/major-papers/229/
Gao C Genome engineering for crop improvement and future agriculture Cell 2021 184 6 1621 1635 1:CAS:528:DC%2BB3MXks1KktLc%3D 33581057
García L Parra L Jimenez JM Lloret J Lorenz P IoT-based smart irrigation systems: An overview on the recent trends on sensors and IoT systems for irrigation in precision agriculture Sensors 2020 20 4 1042 32075172 7070544 10.3390/S20041042
Ghafar ASA Hajjaj SSH Gsangaya KR Sultan MTH Mail MF Hua LS Design and development of a robot for spraying fertilizers and pesticides for agriculture Materials Today: Proceedings 2023 81 242 248
Goswami HN Rai J Das A Li H Molecular mechanism of active Cas7-11 in processing CRISPR RNA and interfering target RNA eLife 2022 11 1:CAS:528:DC%2BB3sXisVOlsbvM 36190192 9629832 e81678
Gray SB Brady SM Plant developmental responses to climate change Developmental Biology 2016 419 1 64 77 1:CAS:528:DC%2BC28Xhtlyjtb%2FN 27521050 https://www.sciencedirect.com/science/article/pii/S0012160616302640
Gu Z Qi Z Burghate R Yuan S Jiao X Xu J Irrigation scheduling approaches and applications: A review Journal of Irrigation and Drainage Engineering 2020 146 6 04020007
Gu Z Zhu T Jiao X Xu J Qi Z Neural network soil moisture model for irrigation scheduling Computers and Electronics in Agriculture 2021 180 105801
Gupta A Rico-Medina A Caño-Delgado AI The physiology of plant responses to drought Science 2020 368 6488 266 269 1:CAS:528:DC%2BB3cXntl2qtrw%3D 32299946 10.1126/science.aaz7614
Gupta N Khosravy M Gupta S Dey N Crespo RG Lightweight artificial intelligence technology for health diagnosis of agriculture vehicles: Parallel evolving artificial neural networks by genetic algorithm International Journal of Parallel Programming 2022 50 1 1 26 10.1007/S10766-020-00671-1/METRICS
Hamrani A Akbarzadeh A Madramootoo CA Machine learning for predicting greenhouse gas emissions from agricultural soils Science of the Total Environment 2020 741 1:CAS:528:DC%2BB3cXht12itLbO 32610233 140338
Haneklaus, S., Lilienthal, H., & Schnug, E. (2016). 25 Years Precision Agriculture in Germany—A Retrospective. 13th International Conference on Precision Agriculture.
Hillary VE Ceasar SA A review on the mechanism and applications of CRISPR/Cas9/Cas12/Cas13/Cas14 proteins utilized for genome engineering Molecular Biotechnology 2023 65 3 311 325 1:CAS:528:DC%2BB38XisV2nsrzO 36163606 10.1007/s12033-022-00567-0
Hufnagel J Reckling M Ewert F Diverse approaches to crop diversification in agricultural research. A review Agronomy for Sustainable Development 2020 40 2 14 10.1007/s13593-020-00617-4
Hundal GS Laux CM Buckmaster D Sutton MJ Langemeier M Exploring barriers to the adoption of internet of things-based precision agriculture practices Agriculture 2023 13 1 163
Ishak AH Hajjaj SSH Gsangaya KR Sultan MTH Mail MF Hua LS Autonomous fertilizer mixer through the internet of things (IoT) Materials Today: Proceedings 2023 81 295 301
Islam N Rashid MM Pasandideh F Ray B Moore S Kadel R A review of applications and communication technologies for internet of things (IoT) and unmanned aerial vehicle (UAV) based sustainable smart farming Sustainability 2021 13 4 1821
Janjanam D Ganesh B Manjunatha L Design of an expert system architecture: An overview Journal of Physics: Conference Series 2021 1767 1 012036 https://iopscience.iop.org/article/10.1088/1742-6596/1767/1/012036/meta
Jha K Doshi A Patel P Shah M A comprehensive review on automation in agriculture using artificial intelligence Artificial Intelligence in Agriculture 2019 2 1 12 10.1016/J.AIIA.2019.05.004
Kamara AY Menkir A Badu-Apraku B Ibikunle O The influence of drought stress on growth, yield and yield components of selected maize genotypes The Journal of Agricultural Science 2003 141 1 43 50 https://www.cambridge.org/core/journals/journal-of-agricultural-science/article/influence-of-drought-stress-on-growth-yield-and-yield-components-of-selected-maize-genotypes/D69AD1E59860399025C2DAF5847F5AEC
Kamilaris A Prenafeta-Boldú FX A review of the use of convolutional neural networks in agriculture The Journal of Agricultural Science 2018 156 3 312 322
Kanojia, A., & Dijkwel, P. P. (2018). Abiotic stress responses are governed by reactive oxygen species and age. Annual Plant Reviews Online, 295–326. https://www.researchgate.net/profile/Aakansha-Kanojia/publication/324652889_Abiotic_Stress_Responses_are_Governed_by_Reactive_Oxygen_Species_and_Age/links/5be6586e4585150b2bab896c/Abiotic-Stress-Responses-are-Governed-by-Reactive-Oxygen-Species-and-Age.pdf
Karunathilake E Le AT Heo S Chung YS Mansoor S The path to smart farming: Innovations and opportunities in precision agriculture Agriculture 2023 13 8 1593
Khan AA Ijaz M Muhammad J Goheer AR Akbar G Adnan M Climate change implications for wheat crop in Dera Ismail Khan district of Khyber Pakhtunkhwa Pakistan Journal of Meteorology 2016 13 25 17 27 https://www.pmd.gov.pk/rnd/rndweb/rnd_new/journal/vol13_issue25_files/2_Climate_Change_Implications_for_Wheat_Crop_in_Dera_Ismail_Khan_District_of_Khyber_Pakhtunkhwa.pdf
Kia PJ Far AT Omid M Alimardani R Naderloo L Intelligent control based fuzzy logic for automation of greenhouse irrigation system and evaluation in relation to conventional systems World Applied Sciences Journal 2009 6 1 16 23
Kim N Ha KJ Park NW Cho J Hong S Lee YW A comparison between major artificial intelligence models for crop yield prediction: Case study of the Midwestern United States, 2006–2015 ISPRS International Journal of Geo-Information 2019 8 5 240 10.3390/IJGI8050240
Kim W Iizumi T Hosokawa N Tanoue M Hirabayashi Y Flood impacts on global crop production: Advances and limitations Environmental Research Letters 2023 18 5 054007 https://iopscience.iop.org/article/10.1088/1748-9326/accd85/meta
Kitashiba H Nasrallah JB Self-incompatibility in Brassicaceae crops: Lessons for interspecific incompatibility Breeding Science 2014 64 1 23 37 1:CAS:528:DC%2BC2cXhvFejur7N 24987288 4031107
Kour J Sharma V Khanday I Genetically modified crops and food security: Commercial, ethical and health considerations 2022 Taylor & Francis
Kumar YS Rao EN Babu DV Jaffar S Basha S Raghavendra T Prabhakar K Padmalatha Y Standardization of measures to overcome the ill effects of water logging stress conditions for cotton, maize and sunflower crops of vertisols Methodology 2009 3 4 https://www.thepharmajournal.com/archives/2021/vol10issue9/PartU/10-9-172206.pdf
Lafitte HR Yongsheng G Yan S Li ZK Whole plant responses, key processes, and adaptation to drought stress: The case of rice Journal of Experimental Botany 2007 58 2 169 175 1:CAS:528:DC%2BD2sXhtlOltr0%3D 16997901 https://academic.oup.com/jxb/article-abstract/58/2/169/531517
Li Z Peng T Xie Q Han S Tian J Mapping of QTL for tiller number at different stages of growth in wheat using double haploid and immortalized F2 populations Journal of Genetics 2010 89 4 409 415 21273691 10.1007/s12041-010-0059-1
Li F Yu D Zhao Y Irrigation scheduling optimization for cotton based on the AquaCrop Model Water Resources Management 2019 33 1 39 55 1:CAS:528:DC%2BB38Xhtl2qtLrF 10.1007/s11269-018-2087-1
Li C Li W Zhou Z Chen H Xie C Lin Y A new rice breeding method: CRISPR/Cas9 system editing of the Xa13 promoter to cultivate transgene-free bacterial blight-resistant rice Plant Biotechnology Journal 2020 18 2 313 31344313
Li, C., Yang, J., Zhu, M., Ding, J., Zhu, X., Zhou, G., & Guo, W. (2022). Urea amendment alleviated morphological and physiological damages and yield loss of winter wheat subjected to cold stress at jointing stage. https://www.researchsquare.com/article/rs-1332108/latest
Liang X Liakos V Wendroth O Vellidis G Scheduling irrigation using an approach based on the van Genuchten model Agricultural Water Management 2016 176 170 179
Liliane TN Charles MS Factors affecting yield of crops Agronomy-climate change & food security 2020 IntechOpen 9 https://books.google.com/books?hl=fr&lr=&id=Ppn8DwAAQBAJ&oi=fnd&pg=PA9&dq=Liliane,+T.+N.,+%26+Charles,+M.+S.+(2020).+Factors+affecting+yield+of+crops.+Agronomy-climate+change+%26+food+security,+9.&ots=u0Ygk0rW23&sig=8RMdkvKQWnHr7BpQXLDpV6M6dfE
Lin N Wang X Zhang Y Hu X Ruan J Fertigation management for sustainable precision agriculture based on internet of things Journal of Cleaner Production 2020 277 124119
Liu Y Ma X Shu L Hancke GP Abu-Mahfouz AM From Industry 4.0 to Agriculture 4.0: Current status, enabling technologies, and research challenges IEEE Transactions on Industrial Informatics 2020 17 6 4322 4334
Loggenberg K Strever A Greyling B Poona N Modelling water stress in a shiraz vineyard using hyperspectral imaging and machine learning Remote Sensing 2018 10 2 202
Lyzenga WJ Pozniak CJ Kagale S Advanced domestication: Harnessing the precision of gene editing in crop breeding Plant Biotechnology Journal 2021 19 4 660 670 1:CAS:528:DC%2BB3MXovVaiurw%3D 33657682 8051614 10.1111/pbi.13576
Malhotra K Khan AW Application of artificial intelligence in IoT security for crop yield prediction ResearchBerg Review of Science and Technology 2022 2 1 136 157
Manik SM Pengilley G Dean G Field B Shabala S Zhou M Soil and crop management practices to minimize the impact of waterlogging on crop productivity Frontiers in Plant Science 2019 10 140 30809241 6379354 https://www.frontiersin.org/articles/10.3389/fpls.2019.00140/full?fbclid=IwAR0zMtue
Marchin RM Backes D Ossola A Leishman MR Tjoelker MG Ellsworth DS Extreme heat increases stomatal conductance and drought-induced mortality risk in vulnerable plant species Global Change Biology 2022 28 3 1133 1146 1:CAS:528:DC%2BB38XhvFehsL3P 34741566 10.1111/gcb.15976
Mazahery-Laghab, H., Nouri, F., & Zare Abianeh, H. (2003). Effects of the reduction of drought stress using supplementary irrigation for sunflower (Helianthus annuus) in dry farming conditions. https://agris.fao.org/search/en/providers/122649/records/647356cce17b74d2224ff4b9.
McFadden J Njuki E Griffin T Precision agriculture in the digital era: Recent adoption on US farms 2023 United States Department of Agriculture
Mehra M Saxena S Sankaranarayanan S Tom RJ Veeramanikandan M IoT based hydroponics system using deep neural networks Computers and Electronics in Agriculture 2018 155 473 486
Mesías-Ruiz GA Pérez-Ortiz M Dorado J de Castro AI Peña JM Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review Frontiers in Plant Science 2023 14 1143326 37056493 10088868 10.3389/FPLS.2023.1143326/BIBTEX
Miller JC Holmes MC Wang J Guschin DY Lee Y-L Rupniewski I Beausejour CM Waite AJ Wang NS Kim KA An improved zinc-finger nuclease architecture for highly specific genome editing Nature Biotechnology 2007 25 7 778 785 1:CAS:528:DC%2BD2sXnsFaru70%3D 17603475
Mishra BK Kumar P Saraswat C Chakraborty S Gautam A Water security in a changing environment: Concept, challenges and solutions Water 2021 13 4 490 https://www.mdpi.com/2073-4441/13/4/490
Mousa AK Croock MS Abdullah MN Fuzzy based decision support model for irrigation system management International Journal of Computer Applications 2014 104 9 14 20 https://www.researchgate.net/profile/Amthal-K/publication/284367853_Fuzzy_based_Decision_Support_Model_for_Irrigation_System_Management/links/5bd18a80a6fdcc6f7900cf23/Fuzzy-based-Decision-Support-Model-for-Irrigation-System-Management.pdf
Mugo S Pathaka RS Influence of drought stress on growth, yield and yield components of selected maize genotypes in coastal lowland Kenya International Journal of Agricultural Sciences 2012 2 6 ii+-178 https://www.airitilibrary.com/Publication/alDetailedMesh?docid=P20160803002-201206-201608080036-201608080036-ii%2B178-185
Nerkar G Devarumath S Purankar M Kumar A Valarmathi R Devarumath R Appunu C Advances in crop breeding through precision genome editing Frontiers in Genetics 2022 13 1:CAS:528:DC%2BB38XitFCmt7zI 35910205 9329802 880195
Noya I González-García S Bacenetti J Fiala M Moreira MT Environmental impacts of the cultivation-phase associated with agricultural crops for feed production Journal of Cleaner Production 2018 172 3721 3733 1:CAS:528:DC%2BC2sXht1Ggs7bP https://www.sciencedirect.com/science/article/pii/S0959652617315792
O’Shaughnessy SA Kim M Andrade MA Colaizzi PD Evett SR Site-specific irrigation of grain sorghum using plant and soil water sensing feedback-Texas High Plains Agricultural Water Management 2020 240 106273
Oliveira RA Näsi R Niemeläinen O Nyholm L Alhonoja K Kaivosoja J Jauhiainen L Viljanen N Nezami S Markelin L Machine learning estimators for the quantity and quality of grass swards used for silage production using drone-based imaging spectrometry and photogrammetry Remote Sensing of Environment 2020 246 111830
Pachauri RK Allen MR Barros VR Broome J Cramer W Christ R Church JA Clarke L Dahe Q Dasgupta P Climate change 2014: Synthesis report. Contribution of working groups I, II and III to the fifth assessment report of the Intergovernmental Panel on Climate Change 2014 IPCC https://epic.awi.de/id/eprint/37530/
Pandya, S., Mistry, M., Parikh, P., Shah, K., Gaharwar, G., Kotecha, K., & Sur, A. (2021). Precision agriculture: Methodologies, practices and applications. In P. K. Singh, S. T. Wierzchoń, S. Tanwar, M. Ganzha, & J. J. P. C. Rodrigues (Éds.), Proceedings of second international conference on computing, communications, and cyber-security (Vol. 203, p. 163–181). Springer Singapore. https://doi.org/10.1007/978-981-16-0733-2_12
Papa C Nzokou P Mbow C Farmer livelihood strategies and attitudes in response to climate change in agroforestry systems in Kedougou, Senegal Environmental Management 2020 66 2 218 231 32494906 10.1007/s00267-020-01302-8
Parajuli R Thoma G Matlock MD Environmental sustainability of fruit and vegetable production supply chains in the face of climate change: A review Science of the Total Environment 2019 650 2863 2879 1:CAS:528:DC%2BC1cXhvVyhur%2FJ 30373063 https://www.sciencedirect.com/science/article/pii/S0048969718338920
Parry ML Climate change 2007-impacts, adaptation and vulnerability: Working group II contribution to the fourth assessment report of the IPCC 2007 Cambridge University Press https://books.google.com/books?hl=fr&lr=&id=TNo-SeGpn7wC&oi=fnd&pg=PA135&dq=IPCC.+Climate+change+2007:+Impacts,+adaptation+and+vulnerability.+In+Working+Group+II+Contribution+to+the+Fourth+Assessment+Report+of+the+Intergovernmental+Panel+on+Climate+Change%3B+Cambridge+University+Press:+Cambridge&ots=vS2zqb0upF&sig=2bE8OLPrw3nUVOhfbl07WuWy6Ek 4
Pathan M Patel N Yagnik H Shah M Artificial cognition for applications in smart agriculture: A comprehensive review Artificial Intelligence in Agriculture 2020 4 81 95 10.1016/J.AIIA.2020.06.001
Patil AP Deka PC An extreme learning machine approach for modeling evapotranspiration using extrinsic inputs Computers and Electronics in Agriculture 2016 121 385 392
Perchlik M Tegeder M Improving plant nitrogen use efficiency through alteration of amino acid transport processes Plant Physiology 2017 175 1 235 247 1:CAS:528:DC%2BC1cXhsFWjsbc%3D 28733388 5580756
Perea RG Poyato EC Montesinos P Díaz JAR Optimisation of water demand forecasting by artificial intelligence with short data sets Biosystems Engineering 2019 177 59 66
Pugel K Javernick-Will A Peabody S Nyaga C Mussa M Mekonta L Dimtse D Watsisi M Buhungiro E Mulatu T Pathways for collaboratively strengthening water and sanitation systems Science of the Total Environment 2022 802 1:CAS:528:DC%2BB3MXhvFelsr3P 34525723 149854
Punithavathi R Rani ADC Sughashini KR Kurangi C Nirmala M Ahmed HFT Balamurugan SP Computer vision and deep learning-enabled weed detection model for precision agriculture Computer Systems Science and Engineering 2023 44 3 2759 2774
Qaim M Role of new plant breeding technologies for food security and sustainable agricultural development Applied Economic Perspectives and Policy 2020 42 2 129 150 10.1002/aepp.13044
Ragab SA El-Gindy AM Arafa YE Gaballah MS An expert system for selecting the technical specifications of drip irrigation control unit Arab Universities Journal of Agricultural Sciences 2018 26 2 601 609
Rai KM Ghose K Rai A Singh H Srivastava R Mendu V Genome engineering tools in plant synthetic biology Current developments in biotechnology and bioengineering 2019 Elsevier 47 73 https://www.sciencedirect.com/science/article/pii/B9780444640857000034
Raza A Razzaq A Mehmood SS Zou X Zhang X Lv Y Xu J Impact of climate change on crops adaptation and strategies to tackle its outcome: A review Plants 2019 8 2 34 1:CAS:528:DC%2BC1MXisVahu7%2FM 30704089 6409995 https://www.mdpi.com/2223-7747/8/2/34
Reckling M Döring TF Bergkvist G Chmielewski F-M Stoddard FL Watson CA Seddig S Bachinger J Grain legume yield instability has increased over 60 years in long-term field experiments as measured by a scale-adjusted coefficient of variation Aspects of Applied Biology 2018 138 15 20 https://www.researchgate.net/profile/Moritz-Reckling/publication/324330522_Grain_legume_yield_instability_has_increased_over_60_years_in_long-term_field_experiments_as_measured_by_a_scale-adjusted_coefficient_of_variation/links/5b03ed13a6fdccf9e4f7c7a1/Grain-legume-yield-instability-has-increased-over-60-years-in-long-term-field-experiments-as-measured-by-a-scale-adjusted-coefficient-of-variation.pdf
Rolo V Rivest D Maillard É Moreno G Agroforestry potential for adaptation to climate change: A soil-based perspective Soil Use and Management 2023 39 3 1006 1032 10.1111/sum.12932
Román-Figueroa C Bravo L Paneque M Navia R Cea M Chemical products for crop protection against freezing stress: A review Journal of Agronomy and Crop Science 2021 207 3 391 403 10.1111/jac.12489
Romero M Luo Y Su B Fuentes S Vineyard water status estimation using multispectral imagery from an UAV platform and machine learning algorithms for irrigation scheduling management Computers and Electronics in Agriculture 2018 147 109 117
Romero P Navarro JM Ordaz PB Towards a sustainable viticulture: The combination of deficit irrigation strategies and agroecological practices in Mediterranean vineyards. A review and update Agricultural Water Management 2022 259 107216 https://www.sciencedirect.com/science/article/pii/S0378377421004935
Roopaei M Rad P Choo K-KR Cloud of things in smart agriculture: Intelligent irrigation monitoring by thermal imaging IEEE Cloud Computing 2017 4 1 10 15
Sahoo DP Panda C Hebbar HU Sharma R Chaurasiya RS Ranjan S Raghavarao KSMS Enhancing nutritional quality of crops through genetic engineering Engineering aspects of food quality and safety 2023 Springer International Publishing 77 92 10.1007/978-3-031-30683-9_4
Sargent D Conaty WC Tissue DT Sharwood RE Synthetic biology and opportunities within agricultural crops Journal of Sustainable Agriculture and Environment 2022 1 2 89 107 10.1002/sae2.12014
Schauberger B Rolinski S Schaphoff S Müller C Global historical soybean and wheat yield loss estimates from ozone pollution considering water and temperature as modifying effects Agricultural and Forest Meteorology 2019 265 1 15 https://www.sciencedirect.com/science/article/pii/S0168192318303502
Segal DJ Beerli RR Blancafort P Dreier B Effertz K Huber A Koksch B Lund CV Magnenat L Valente D Barbas CF Evaluation of a modular strategy for the construction of novel polydactyl zinc finger DNA-binding proteins Biochemistry 2003 42 7 2137 2148 1:CAS:528:DC%2BD3sXmt1yjsA%3D%3D 12590603 10.1021/bi026806o
Sehgal A Sita K Siddique KH Kumar R Bhogireddy S Varshney RK HanumanthaRao B Nair RM Prasad PV Nayyar H Drought or/and heat-stress effects on seed filling in food crops: Impacts on functional biochemistry, seed yields, and nutritional quality Frontiers in Plant Science 2018 9 1705 30542357 6277783 https://www.frontiersin.org/articles/10.3389/fpls.2018.01705/full
Seleiman MF Al-Suhaibani N Ali N Akmal M Alotaibi M Refay Y Dindaroglu T Abdul-Wajid HH Battaglia ML Drought stress impacts on plants and different approaches to alleviate its adverse effects Plants 2021 10 2 259 1:CAS:528:DC%2BB3MXptFemtr4%3D 33525688 7911879 https://www.mdpi.com/2223-7747/10/2/259
Sendros A Drosatos G Efraimidis PS Tsirliganis NC Blockchain applications in agriculture: A scoping review Applied Sciences 2022 12 16 8061 1:CAS:528:DC%2BB38Xit1eksbnN
Serraj, R., & Pingali, P. (2019). Agriculture & Food Systems to 2050. In The World Scientific Series in Grand Public Policy Challenges of the 21st Century (Vol. 2).
Serrano J Shahidian S Marques da Silva J Paixão L Moral F Carmona-Cabezas R Garcia S Palha J Noéme J Mapping management zones based on soil apparent electrical conductivity and remote sensing for implementation of variable rate irrigation—Case study of corn under a center pivot Water 2020 12 12 3427 1:CAS:528:DC%2BB3MXoslSjsb0%3D
Shahzad A Ullah S Dar AA Sardar MF Mehmood T Tufail MA Shakoor A Haris M Nexus on climate change: Agriculture and possible solution to cope future climate change stresses Environmental Science and Pollution Research 2021 28 12 14211 14232 33515149 10.1007/s11356-021-12649-8
Shaikh IA Wayayok A Mangrio MA Alhussain ZA Chandio FA Khan ZA Khan WA Mohammed M Elbashir MK Rahman JU Optimizing approach of water allocation to off-takes during reduced flows Water Resources Management 2022 36 3 891 913 10.1007/s11269-021-03054-4
Sharma, S., Sharma, J., Soni, V., Kalaji, H. M., & Elsheery, N. I. (2021). Waterlogging tolerance: A review on regulative morpho-physiological homeostasis of crop plants. Journal of Water and Land Development, 16–28. https://journals.pan.pl/Content/119789/2%20Sharma%20et%20Kalaji%20et%20al%20904.pdf
Sharma N Thakur M Suryakumar P Mukherjee P Raza A Prakash CS Anand A ‘Breathing Out’ under heat stress—Respiratory control of crop yield under high temperature Agronomy 2022 12 4 806 1:CAS:528:DC%2BB38Xht1arsL7J https://www.mdpi.com/2073-4395/12/4/806
Shin J Mahmud MS Rehman TU Ravichandran P Heung B Chang YK Trends and prospect of machine vision technology for stresses and diseases detection in precision agriculture AgriEngineering 2022 5 1 20 39
Stenzel F Greve P Lucht W Tramberend S Wada Y Gerten D Irrigation of biomass plantations may globally increase water stress more than climate change Nature Communications 2021 12 1 1512 1:CAS:528:DC%2BB3MXmt1alsLc%3D 33686076 7940422 https://www.nature.com/articles/s41467-021-21640-3
Subeesh A Mehta CR Automation and digitization of agriculture using artificial intelligence and internet of things Artificial Intelligence in Agriculture 2021 5 278 291
Sui R Yan H Field study of variable rate irrigation management in humid climates Irrigation and Drainage 2017 66 3 327 339 10.1002/ird.2111
Susič N Žibrat U Širca S Strajnar P Razinger J Knapič M Vončina A Urek G Stare BG Discrimination between abiotic and biotic drought stress in tomatoes using hyperspectral imaging Sensors and Actuators B: Chemical 2018 273 842 852
Tan Y Du H Wu X Liu Y Jiang M Song S Wu L Shu Q Gene editing: An instrument for practical application of gene biology to plant breeding Journal of Zhejiang University Science. B 2020 21 6 460 473 1:CAS:528:DC%2BB3cXhtF2qsL%2FI 32478492 7306633 10.1631/jzus.B1900633
Thornton PK Whitbread A Baedeker T Cairns J Claessens L Baethgen W Bunn C Friedmann M Giller KE Herrero M A framework for priority-setting in climate smart agriculture research Agricultural Systems 2018 167 161 175
Tomich TP Brodt S Ferris H Galt R Horwath WR Kebreab E Leveau JHJ Liptzin D Lubell M Merel P Michelmore R Rosenstock T Scow K Six J Williams N Yang L Agroecology: A review from a global-change perspective Annual Review of Environment and Resources 2011 36 1 193 222 10.1146/annurev-environ-012110-121302
Tsang SW Jim CY Applying artificial intelligence modeling to optimize green roof irrigation Energy and Buildings 2016 127 360 369
Tsatsakis AM Nawaz MA Kouretas D Balias G Savolainen K Tutelyan VA Golokhvast KS Lee JD Yang SH Chung G Environmental impacts of genetically modified plants: A review Environmental Research 2017 156 818 833 1:CAS:528:DC%2BC2sXkvF2htbs%3D 28347490
Ul Hassan M Rasool T Iqbal C Arshad A Abrar M Abrar MM Habib-ur-Rahman M Noor MA Sher A Fahad S Linking plants functioning to adaptive responses under heat stress conditions: A mechanistic review Journal of Plant Growth Regulation 2022 41 7 2596 2613 1:CAS:528:DC%2BB3MXitVequ7fK 10.1007/s00344-021-10493-1
Van Esse HP Reuber TL Van Der Does D Genetic modification to improve disease resistance in crops New Phytologist 2020 225 1 70 86 31135961 10.1111/nph.15967
Vaughan MM Block A Christensen SA Allen LH Schmelz EA The effects of climate change associated abiotic stresses on maize phytochemical defenses Phytochemistry Reviews 2018 17 1 37 49 1:CAS:528:DC%2BC2sXmvFSgsbc%3D 10.1007/s11101-017-9508-2
Vega Rodríguez A Rodríguez-Oramas C Sanjuán Velázquez E Hardisson de la Torre A Rubio Armendáriz C Carrascosa Iruzubieta C Myths and realities about genetically modified food: A risk-benefit analysis Applied Sciences 2022 12 6 2861
Walter A Finger R Huber R Buchmann N Smart farming is key to developing sustainable agriculture Proceedings of the National Academy of Sciences 2017 114 24 6148 6150 1:CAS:528:DC%2BC2sXpvFClurc%3D
Wang X Wu Z Jia M Xu T Pan C Qi X Zhao M Lightweight SM-YOLOv5 tomato fruit detection algorithm for plant factory Sensors 2023 23 6 3336 36992047 10051861
Wang Y Xiao Y Puig-Bargués J Zhou B Liu Z Muhammad T Liang H Maitusong M Wang Z Li Y Assessment of water quality ions in brackish water on drip irrigation system performance applied in saline areas Agricultural Water Management 2023 289 108544
Wei Y Jin J Jiang S Ning S Liu L Quantitative response of soybean development and yield to drought stress during different growth stages in the Huaibei Plain, China Agronomy 2018 8 7 97 1:CAS:528:DC%2BC1MXitVOlsb%2FF https://www.mdpi.com/2073-4395/8/7/97
Wheeler T Von Braun J Climate change impacts on global food security Science 2013 341 6145 508 513 1:CAS:528:DC%2BC3sXhtFyjsrrM 23908229 10.1126/science.1239402
Whelan AI Gutti P Lema MA Gene editing regulation and innovation economics Frontiers in Bioengineering and Biotechnology 2020 8 10.3389/FBIOE.2020.00303/BIBTEX 525237
WMO, G., & OMM, G. (1966). International meteorological vocabulary.
Yadav RK Tripathi MK Tiwari S Tripathi N Asati R Chauhan S Tiwari PN Payasi DK Genome editing and improvement of abiotic stress tolerance in crop plants Life 2023 13 7 1456 1:CAS:528:DC%2BB3sXhs1Kgs7vP 37511831 10381907
Yuan Y Ton BL Thomas WJW Batley J Edwards D Supporting crop plant resilience during climate change Crop Science 2023 63 4 1816 1828 1:CAS:528:DC%2BB3sXhtF2nu7%2FE 10.1002/csc2.21019
Zaveri E Russ J Damania R Rainfall anomalies are a significant driver of cropland expansion Proceedings of the National Academy of Sciences 2020 117 19 10225 10233 1:CAS:528:DC%2BB3cXhtFWntbnN 10.1073/pnas.1910719117
Zhang R Liu A Yu L Zhang W Distributed model predictive control based on Nash optimality for large scale irrigation systems IFAC-PapersOnLine 2015 48 8 551 555
Zhang H Si X Ji X Fan R Liu J Chen K Wang D Gao C Genome editing of upstream open reading frames enables translational control in plants Nature Biotechnology 2018 36 9 894 898 1:CAS:528:DC%2BC1cXhsVCmurjL 30080209
Zhao W Li J Yang R Li Y Crop yield and water productivity responses in management zones for variable-rate irrigation based on available soil water holding capacity Transactions of the ASABE 2017 60 5 1659 1667
Zhao J Liu D Huang R A review of climate-smart agriculture: Recent advancements, challenges, and future directions Sustainability 2023 15 4 3404
Zhu X Wang Y Liu Y Zhou W Yan B Yang J Shen Y Overexpression of BcHsfA1 transcription factor from Brassica campestris improved heat tolerance of transgenic tobacco PLoS One 2018 13 11 30427910 6235349 e0207277
Žydelis R Weihermüller L Herbst M Klosterhalfen A Lazauskas S A model study on the effect of water and cold stress on maize development under nemoral climate Agricultural and Forest Meteorology 2018 263 169 179 https://www.sciencedirect.com/science/article/pii/S0168192318302715