Soil-Borne Pathogens Management in Cloud-Connected Agriculture: An IoT and Decision Tree Algorithmic Approach

In the digital revolution of agriculture, Internet of Things (IoT) technology and smart Decision Tree (DL) Algorithms may help control soil-borne diseases. This research proposes using cloud-connected technologies to combat soil-borne illnesses in agriculture. IoT devices gather real-time data and cloud computing processes in the suggested system and store it efficiently and a DL algorithm makes intelligent decisions. IoT sensors in the field monitor surrounding factors, pathogen prevalence for soil health. A DL algorithm examines the data on a cloud platform to deliver actionable insights. For soil-borne pathogen prediction and management, the DT algorithm considers soil moisture, temperature, and historical disease trends. Farmers get fast and data-driven decision assistance from the cloud-connected architecture's device connectivity and remote access. Simulation and real-world tests show that the suggested strategy reduces agricultural production lost to soil-borne illnesses. Increased disease prediction accuracy and tailored treatment suggestions increase crop health and sustainable agriculture. The effective and scalable soil-borne pathogen control method presented in this study to smart agriculture. IoT and DT algorithms enable proactive disease management and provide the groundwork for precision agriculture and data-driven farming.