Published Paper Details:

A significant component of the research is the Worm Detection System, which uses Convolutional Neural Networks (CNN) to detect worms in crops. This system uses advanced image processing algorithms to identify and alert farmers regarding possible worm infestations based on pictures of crops. This study provides effective, sustainable, and technologically advanced solutions to modern farming challenges, marking a major advancement toward precision agriculture. Assessing the condition and nutrient levels of the soil is the main objective of the soil analysis component. To detect important characteristics including pH, moisture content, temperature, and nutrient concentrations, soil sensors are used. Crop Recommendation is the third system pillar. The system generates customized crop suggestions for farmers through the integration of information from aerial photographs, previous climate data, crop databases, and worm detection and soil analysis data.