This project ... an integrated system for agricultural optimization, including soil prediction, crop recommendation, plant disease detection, fertilizer suggestion, and crop yield prediction. The ...

Early and accurate detection of crop diseases is essential for effective disease management, reducing yield losses, and ensuring food security. In this project, we propose an automated crop disease ...

Deep learning techniques ... tools for image-based pest and disease detection. Using CNN and YOLOv8 algorithms, this project aims to create a robust and efficient crop pest detection and ...

Deep learning offers a fast and accurate solution to ... this study is the first to present the results derived from a dual-track architecture employed for the detection of crop diseases and pests, ...

The number of wheat spikelets is an important phenotypic trait and can be used to assess the grain yield of the wheat crop ... DCNN model was trained using a deep learning method to detect spikelets ...