Triticeae Genomics and Genetics, 2025, Vol.16, No.5, 195-202 http://cropscipublisher.com/index.php/tgg 200 farmers can learn how to use digital tools, such as looking at data and using mobile phone software to determine when to water or fertilize (Paustian and Theuvsen, 2016). Governments, research institutions and companies can cooperate more to carry out some practical projects to bring knowledge to rural areas. In the future, we can also study some new training methods to see how to more effectively help farmers in different regions and types learn these new technologies. Acknowledgments CropSci Publisher thanks to the anonymous peer review experts for their time and feedback. Conflict of Interest Disclosure The authors affirm that this research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest. References Abideen Z., Hassan T., Arshad F., Zafar N., Ammar A., Aleem A., Ahmad R., Khalid M., and Amjad I., 2023, Advances and challenges in wheat genetics and breeding for global food security, Biological and Agricultural Sciences Research Journal, 1: 27. https://doi.org/10.54112/basrj.v2023i1.27 Araújo S., Peres R., Filipe L., Manta-Costa A., Lidon F., Ramalho J., and Barata J., 2023, Intelligent data-driven decision support for agricultural systems-ID3SAS, IEEE Access, 11: 115798-115815. https://doi.org/10.1109/ACCESS.2023.3324813 Balafoutis A., Beck B., Fountas S., Vangeyte J., Wal T., Soto I., Gómez-Barbero M., Barnes A., and Eory V., 2017, Precision agriculture technologies positively contributing to GHG emissions mitigation, farm productivity and economics, Sustainability, 9: 1339. https://doi.org/10.3390/SU9081339 Barrile V., Maesano C., and Genovese E., 2025, Optimization of crop yield in precision agriculture using WSNs, remote sensing, and atmospheric simulation models for real-time environmental monitoring, Journal of Sensor and Actuator Networks, 14(1): 14. https://doi.org/10.3390/jsan14010014 Benbi D., 2018, Carbon footprint and agricultural sustainability nexus in an intensively cultivated region of indo-gangetic plains, The Science of the Total Environment, 644: 611-623. https://doi.org/10.1016/j.scitotenv.2018.07.018 Chukwuma U., Gebremedhin K., and Uyeh D., 2024, Imagining AI-driven decision making for managing farming in developing and emerging economies, Computers and Electronics in Agriculture, 221: 108946. https://doi.org/10.1016/j.compag.2024.108946 Daloz A.S., Rydsaa J.H., Hodnebrog Ø., Sillmann J., van Oort B., Mohr C.W., Agrawal M., Emberson L., Stordal F., and Zhang T., 2021, Direct and indirect impacts of climate change on wheat yield in the Indo-Gangetic plain in India, Journal of Agriculture and Food Research, 4: 100132. https://doi.org/10.1016/j.jafr.2021.100132 Denora M., Candido V., D’Antonio P., Perniola M., and Mehmeti A., 2023, Precision nitrogen management in rainfed durum wheat cultivation: exploring synergies and trade-offs via energy analysis, life cycle assessment, and monetization, Precision Agriculture, 24: 2566-2591. https://doi.org/10.1007/s11119-023-10053-5 Diacono M., Rubino P., and Montemurro F., 2012, Precision nitrogen management of wheat. A review, Agronomy for Sustainable Development, 33: 219-241. https://doi.org/10.1007/s13593-012-0111-z Dinesh G., Sharma D., Jat S., Venkatramanan V., Boomiraj K., Kadam P., Prasad S., Anokhe A., Selvakumar S., Rathika S., Ramesh T., Bandyopadhyay K., Jayaraman S., Ramesh K., Sinduja M., Sathya V., Rao C., Dubey R., Manu S., Karthika S., Singh A., Kumar B., and Mahala D., 2024, Residue retention and precision nitrogen management effects on soil physicochemical properties and productivity of maize-wheat-mungbean system in Indo-Gangetic Plains, Frontiers in Sustainable Food Systems, 8: 1259607. https://doi.org/10.3389/fsufs.2024.1259607 Fabiani S., Vanino S., Napoli R., Zajíček A., Duffková R., Evangelou E., and Nino P., 2020, Assessment of the economic and environmental sustainability of Variable Rate Technology (VRT) application in different wheat intensive European agricultural areas. A Water energy food nexus approach, Environmental Science and Policy, 114: 366-376. https://doi.org/10.1016/J.ENVSCI.2020.08.019 Finco A., Bentivoglio D., Belletti M., Chiaraluce G., Fiorentini M., Ledda L., and Orsini R., 2023, Does precision technologies adoption contribute to the economic and agri-environmental sustainability of mediterranean wheat production? An Italian case study, Agronomy, 13(7): 1818. https://doi.org/10.3390/agronomy13071818 Finger R., Swinton S., Benni N., and Walter A., 2019, Precision farming at the nexus of agricultural production and the environment, Annual Review of Resource Economics, 11: 313-335. https://doi.org/10.1146/ANNUREV-RESOURCE-100518-093929 Gebbers R., and Adamchuk V., 2010, Precision agriculture and food security, Science, 327: 828-831. https://doi.org/10.1126/science.1183899
RkJQdWJsaXNoZXIy MjQ4ODYzNA==