Deep Learning and Blockchain Application in Smart Agriculture and Farming

Abstract

Artificial Intelligence (AI) enables farmers to increase production, limit input consumption, and improve resource allocation through the integration of drones, sensor networks, and satellite imaging, thereby promoting environmental stewardship. Predictive analytics powered by AI is also essential for reducing the hazards to agriculture brought on by extreme weather and climate change. In order to anticipate pest infestations, disease outbreaks, and agricultural yields, machine learning algorithms evaluate historical data. This allows for proactive measures to be taken to protect the resilience and health of crops. AI also transforms supply chain management by improving efficiency, traceability, and transparency across the whole value chain of agriculture. When combined with AI algorithms, blockchain technology allows for the unchangeable recording of transactions, guaranteeing the authenticity and traceability of food.