Leveraging MobileNetV3 for In-Field Tomato Disease Detection in Malawi via CNN

Disease Detection in Tropical Tomato Leaves via Machine Learning Models

This study addresses the significant threat of tomato diseases to production in Ghana, which has led

Multimodal CNN–LSTM Framework for Real-Time Maize Disease Detection

Maize diseases present a major challenge to agricultural productivity and food security, particularl

Enabling Intelligence on the Edge: Leveraging Edge Impulse to Deploy Multiple Deep Learning Models on Edge Devices for Tomato Leaf Disease Detection

Tomato diseases, including Leaf blight, Leaf curl, Septoria leaf spot, and Verticillium wilt, are re

AI Diagnostics in Malawi: Leveraging Technology for Enhanced Disease Diagnosis Amidst Resource Constraints

AI diagnostics have shown promise in enhancing disease diagnosis accuracy, particularly in

Field and Laboratory Evaluation of Pesticidal Plants for Bioactivity against Rape and Tomato Pests in Malawi

Insect pests cause serious damage through feeding in the process and may also transmit plant disease

Automated Potato Tomato Disease Detection Using EfficientNetB3 Transfer Learning