Introduction The digital transformation of agriculture has been accelerated by the adoption of Internet of Things (IoT) sensors, drones, satellite imagery, and cloud-based analytics. Agricultural systems now generate massive amounts of sensor data co...
Agricultural irrigation consumes more than 70% of the world’s freshwater resources. In rural and developing regions, traditional irrigation techniques often result in overwatering, waterlogging, or under-irrigation—causing not just yield loss, but al...
Introduction Agricultural drones have transformed how farmers monitor and manage crops. Equipped with cameras, sensors, and sometimes spraying mechanisms, these drones help increase yield, reduce resource use, and detect problems early. While battery...
Introduction Agricultural machinery has transformed farming by automating labor-intensive tasks, yet small-scale farmers often struggle with maintenance issues due to limited resources and technical knowledge. Traditional maintenance methods, such as...
AbstractFieldVerse represents a pioneering convergence of cloud computing, artificial intelligence (AI), and cross-domain data analytics, fusing AgriTech with actionable insights from the pharmaceutical and healthcare sectors. This integration aims t...
Abstract:The evolution of agriculture in the digital age demands more than just mechanization—it calls for intelligence, adaptability, and connectivity. HarvestGrid introduces an integrated framework where Artificial Intelligence (AI), cloud computin...
AbstractThe agricultural sector is undergoing a transformative shift powered by intelligent technologies. "AgriNeural Networks" refers to the integration of neural network-based machine learning (ML) models into agricultural equipment, enabling dynam...