The strategy, known as synthetic biology, is gaining momentum globally as a conservation tool and human health solution, ...
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: Global food security is seriously threatened by plant diseases, especially in areas with limited access to prompt professional diagnosis. We introduce PlantNet, a deep learning-powered ...
1 Shandong Facility Horticulture Bioengineering Research Center, Weifang University of Science and Technology, Weifang, China 2 Department of Computer Engineering, Dongseo University, Busan, Republic ...
This project aims to develop a method for detecting plant diseases using CNNs by analyzing leaf images.The CNNs are proficient in handling large datasets and can dynamically learn new features from ...
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 ...
Abstract: Plant diseases remain a significant threat to global agriculture, necessitating rapid and accurate detection to minimize crop loss. This paper presents a lightweight, end-to-end system for ...
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