ALAD-YOLO:an lightweight and accurate detector for apple leaf diseases. [PDF]
Front Plant Sci, 2023 Suffering from various apple leaf diseases, timely preventive measures are necessary to take. Currently, manual disease discrimination has high workloads, while automated disease detection algorithms face the trade-off between detection accuracy and ...
Xu W, Wang R.
europepmc +4 more sources
An Improved Lightweight Network for Real-Time Detection of Apple Leaf Diseases in Natural Scenes
Agronomy, 2022 Achieving rapid and accurate detection of apple leaf diseases in the natural environment is essential for the growth of apple plants and the development of the apple industry.
Sha Liu +5 more
doaj +2 more sources
PlantsIn this study, our aim is to find an effective method to solve the problem of disease similarity caused by multiple diseases occurring on the same leaf. This study proposes the use of an optimized RegNet model to identify seven common apple leaf diseases.
Bin Wang +3 more
doaj +4 more sources
Web-Based AI System for Detecting Apple Leaf and Fruit Diseases
AgriEngineeringThe present study seeks to improve the accuracy and reliability of disease identification in apple fruits and leaves through the use of state-of-the-art deep learning techniques.
Serra Aksoy +2 more
doaj +2 more sources
Apple Leaf Diseases Detection Model Based on Improved Faster R_CNN [PDF]
Jisuanji gongcheng, 2021 In practice,it is difficult to detect apple leaf diseases in real time due to the complex background of apple leaf disease images and the small disease spots.To address the problem,an improved Faster R_CNN model is proposed for apple leaf disease ...
LI Xinran, LI Shuqin, LIU Bin
doaj +1 more source
Pseudoperonospora cubensis development under differentiated nitrogen and potassium fertilization of Cucumis sativus [PDF]
, 2009 Cucumber (Cucumis sativus) is one of the most economically important vegetable crops worldwide and downy mildew caused by Pseudoperonospora cubensis is considered among the most destructive diseases that attack this plant.
Papadaki, Anastasia A.
core +7 more sources
Precision agriculture with YOLO-Leaf: advanced methods for detecting apple leaf diseases. [PDF]
Front Plant SciLi T, Zhang L, Lin J.
europepmc +2 more sources
ALD-YOLO: a lightweight attention detection model for apple leaf diseases. [PDF]
Front Plant SciDeng H, Chen Y, Xu Y.
europepmc +2 more sources
Dilated convolution capsule network for apple leaf disease identification
Frontiers in Plant Science, 2022 Accurate and rapid identification of apple leaf diseases is the basis for preventing and treating apple diseases. However, it is challenging to identify apple leaf diseases due to their various symptoms, different colors, irregular shapes, uneven sizes ...
Cong Xu, Xuqi Wang, Shanwen Zhang
doaj +1 more source
Apple Leaf Disease Identification in Complex Background Based on BAM-Net
Agronomy, 2023 Apples are susceptible to infection by various pathogens during growth, which induces various leaf diseases and thus affects apple quality and yield. The timely and accurate identification of apple leaf diseases is essential to ensure the high-quality ...
Yuxi Gao +5 more
doaj +1 more source