The necessity to control pests and diseases by biological means using computer and internet technology instead of pesticides to protect crops is a primary objective of this work. Research in ...

Current agricultural environments present threats from fungal and bacterial pathogens which pose grave threats to both crop production and food security, necessitating timely detection of plant ...

This project explores the application of deep learning techniques to detect and classify plant diseases using images. Utilizing Convolutional Neural Networks (CNNs), our study compares the efficacy of ...

While there are many studies on strawberry diseases or pests detection tasks, aiming at various strawberry diseases and pests such as leaf scorch (Ferentinos, 2018), powdery mildew (Kim et al., 2021; ...

Keywords: deep learning, object detection, YOLO, transfer learning, disease classification. Citation: Khan F, Zafar N, Tahir MN, Aqib M, Waheed H and Haroon Z (2023) A mobile-based system for maize ...

This is the source code of the experiment described in chapter Deep Learning for Plant Diseases: Detection and Saliency Map Visualisation in a book Human and Machine Learning, 2018.. Training and ...