Abstract: Food is one of the necessities for human survival, and, therefore, ensuring food productivity is crucial for humanity's smooth progress in all aspects. Diseases are one of the obstacles to ...

This project uses deep learning to automatically detect plant diseases from leaf images. The model leverages Convolutional Neural Networks (CNNs) and Transfer Learning (MobileNetV2) for accurate and ...

Accurate detection of crop diseases from unmanned aerial vehicle (UAV) imagery is critical for precision agriculture. This task remains challenging due to the complex backgrounds, variable scales of ...

Abstract: Plant diseases significantly threaten global food security, reducing agricultural productivity and causing economic losses for farmers. Early detection and effective disease management are ...

Chronic kidney disease (CKD) has long been a silent killer and the global healthcare system is hemorrhaging value in dealing with it. Far too many patients reach dialysis or transplant status without ...

A team of infectious disease specialists argues that shifting toward plant-based diets can simultaneously slow climate change, reduce antibiotic resistance, and lower disease risks - empowering ...

According to a release from the Alabama Department of Agriculture and Industries, citrus canker has been detected in the county. ADAI will authorize a quarantine zone to be established. ADAI’s routine ...

1 Shandong Facility Horticulture Bioengineering Research Center, Weifang University of Science and Technology, Weifang, China 2 Department of Computer Engineering, Dongseo University, Busan, Republic ...

ABSTRACT: Timely and accurate detection of plant diseases is essential for improving crop yields and ensuring food security, particularly in regions like Cameroon, where farmers often rely on visual ...

1 Ambam Computer Science and Application Laboratory & Department of Computer Engineering, Higher Institute of Transport, Logistics and Commerce, University of Ebolowa, Ebolowa, Cameroon. 2 Institut ...