Published Paper Details:

AgroPredict operates as a platform focused on vital agricultural issues such as crop selection and nutrient adjustment and disease prevention that specifically benefits Indian agricultural industries. AgroPredict delivers recommendations for appropriate crop choice through its IoT sensor applications by analyzing authentic soil data with environmental conditions of specific regions. Plant diseases become detectable through image recognition systems which allow early disease identification then the same technology analyzes symptoms while inspecting soil nutrient level to determine proper fertilizers based on plant requirements. AgroPredict achieves accurate predictions through the combination of three ML algorithms that include Random Forest with Support Vector Machines (SVM) and Convolutional Neural Networks (CNN). Users can easily access the system using web and mobile interfaces because the system features intuitive functional design. Through data-driven information delivery AgroPredict helps farmers decrease financial losses and increase yields and adopts sustainable farming practices.