Integrating biogenic nano seed priming with artificial intelligence and machine learning: enhanced sustainable crop...

Agriculture will face yet unheard-of challenges in ensuring food security while minimizing its adverse environmental effects. Traditional agricultural practices that mostly rely on fertilizers, insecticides, and growth stimulants have increased food production, but they have also had detrimental effects on the environment and public health. This study examine at innovative approaches to sustainable agriculture, nano seed-priming with artificial intelligence (AI) and machine learning (ML). Biogenic nano seed-priming has physiological effects on germination, impact of priming on stress tolerance, and has boosted agricultural productivity and reduced environmental effects. Its incorporation of nanoseed priming with AI algorithms for optimising coating properties via models (such as ANNS, ANN, and CANN), the prediction of physical mechanical surface properties and the leveraging of machine learning and artificial intelligence for seed nano-priming opens possibilities for agricultural innovation. Through its advanced monitoring, prediction, and automation capabilities, artificial intelligence (AI) is revolutionizing modern agriculture. By enhancing precision farming and smart agriculture, the use of AI and machine learning (ML) promotes sustainability and efficiency. A comprehensive framework to address global food security, slow down climate change, and advance sustainable agriculture methods is created by combining nano seed priming with artificial intelligence and machine learning. This convergence has the potential to drastically alter farming systems, leading to increased yields, better-quality food, and a future in which agriculture is environmentally conscious.