What is Convolutional Neural Networks (CNNs)

The fusion of artificial intelligence (AI) with biosensors and bioelectronics has ushered in a new era in agriculture. This multidisciplinary synergy leverages advanced technologies to address the evolving demands of the agricultural sector. AI-integrated biosensors and bioelectronics offer real-time, data-driven solutions to improve crop health, optimize resource management, and enhance yield predictions. These innovations bridge the gap between traditional agricultural practices and the digital age. This chapter explores the myriad applications and implications of AI in biosensors and bioelectronics within the agricultural landscape. It delves into the development and deployment of biosensors that can monitor plant health, detect diseases, and assess environmental conditions. These devices, enhanced by AI, provide precise, actionable data for decision-making. The integration of bioelectronics facilitates communication between sensors, machinery, and other farming systems, creating a holistic approach to smart agriculture.