Artificial Intelligence for Sustainable Plant Protection
DOI:
https://doi.org/10.5281/zenodo.20551887Keywords:
Artificial Intelligence, Plant Protection, Precision Farming, Sustainable AgricultureAbstract
AI has a major role to play in advancing sustainable plant protection by optimising crop management practices to be more eco-friendly, efficient, and accurate. The use of AI systems, including machine learning, deep learning, computer vision, robotics and Internet of Things (IoT) systems, is found across a broad range of applications for early detection of plant diseases, monitoring insect pests, identification of weeds and precision pesticide application. The technologies will reduce chemical use, decrease environmental pollution, and enhance crop productivity. Predictive models also leverage AI for Integrated Pest Management (IPM), providing accurate pest forecasting and real-time decision-making. In addition, the use of precision agriculture technologies with AI helps to optimise resource use and is part of climate-smart agriculture. Although AI offers certain benefits, it also presents challenges, including high implementation costs, limited technical expertise, and data availability issues. While AI offers significant potential, it also has its drawbacks, such as the high cost of implementation, the availability of technical expertise, and data availability issues. The ongoing development of AI technologies will continue to reinforce eco-friendly plant protection measures and contribute to global food security.
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