Abstract
Addressing the challenges posed by climate change, surging population, rival demands on land for renewable fuel manufacturing, and adverse soil conditions is crucial for ensuring global food security. Achieving sustainable solutions necessitates the integration of multidisciplinary knowledge, such as materials technology and informatics. The convergence of precision agriculture with nanotechnology and artificial intelligence (AI) offers promising prospects for sustainable food production. Through real-time responsiveness to crop growth using advanced technologies, such as nanotechnology and AI, farmers can optimize resource allocation and make informed decisions. Newer opportunities for sustainable food production arise through the integration of precision agriculture, nanotechnology, and artificial intelligence. This convergence enables farmers to dynamically respond to crop growth variations using advanced techniques. By combining nanotechnology and informatics methods with existing models for nutrient cycling and crop productivity, it becomes possible to enhance critical aspects, such as precision targeting, efficient absorption, effective distribution, optimized nutrient assimilation, and long-term effects on soil microbial communities. This integration offers significant potential for improving agriculture and addressing sustainability challenges in food production. Ultimately, this synergy allows for the development of nanoscale agrochemicals that offer a balance between safety and functionality, ensuring optimal performance in agricultural systems.
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