Results 31 to 40 of about 2,798,370 (224)

Performance and long-term stability of the barley hordothionin gene in multiple transgenic apple lines [PDF]

open access: yes, 2011
Introduction of sustainable scab resistance in elite apple cultivars is of high importance for apple cultivation when aiming at reducing the use of chemical crop protectants.
Groenwold, R.   +11 more
core   +1 more source

Multidimensional Attention-Based CNN Model for Identifying Apple Leaf Disease

open access: yesJournal of Food Quality, 2023
To prevent the spread of illnesses and guarantee the steady and healthy growth of the apple sector, the proper diagnosis of apple leaf diseases is of utmost importance.
Kahkashan Perveen   +7 more
doaj   +1 more source

Detection of Apple Leaf Diseases using Faster R-CNN

open access: yesDüzce Üniversitesi Bilim ve Teknoloji Dergisi, 2020
Image recognition-based automated disease detection systems play animportant role in the early detection of plant leaf diseases. In this study, anapple leaf disease detection system was proposed using Faster Region-BasedConvolutional Neural Network ...
Melike Sardoğan   +2 more
doaj   +1 more source

Automatic Apple Leaf DIseases Detection and Classification Using Multilayer Convolution Neural Network [PDF]

open access: yes, 2022
An improved CNN model is proposed for apple leaf diseases. Effective data augmentation and image preprocessing operations are devised. Our method boosts the apple leaf diseases recognition accuracy and reduces computational time.We are thankful to Ural ...
Ul Islam, Rizu Md Rakib   +1 more
core  

Apple chlorotic leaf spot virus [PDF]

open access: yes, 2016
NYS IPM Type: Fruits IPM Fact SheetApple chlorotic leaf spot virus (ACLSV) infects pome and stone fruits. It can elicit diverse symptoms although, in most cultivars the virus is latent, which means that infected trees do not manifest observable symptoms.
Cieniewicz, Elizabeth, Fuchs, Marc
core   +6 more sources

Detecting diseases in apple tree leaves using FPN–ISResNet–Faster RCNN

open access: yesEuropean Journal of Remote Sensing, 2023
Apple leaf diseases typified by small disease spots are generally difficult to detect in images. This study proposes a deep learning model called the feature pyramid networks (FPNs) –inception squeeze-and-excitation ResNet (ISResNet)–Faster RCNN (region ...
Jingwei Hou   +3 more
doaj   +1 more source

Survey of Major Leaf Disease Occurred on Apple Tree in Korea from 1992-2010

open access: yesResearch in Plant Disease, 2018
Disease occurrence in apple cultivars on 13-30 apple orchards from April to October 1992-2010 was investigated at 30 days intervals in Gyeongbuk, Gyeongnam and Jeonbuk provinces of Korea.
Wonsu Cheon   +6 more
doaj   +1 more source

Apple Leaf Disease Identification with a Small and Imbalanced Dataset Based on Lightweight Convolutional Networks

open access: yesSensors, 2021
The intelligent identification and classification of plant diseases is an important research objective in agriculture. In this study, in order to realize the rapid and accurate identification of apple leaf disease, a new lightweight convolutional neural ...
Lili Li, Shujuan Zhang, Bin Wang
doaj   +1 more source

YOLOV5-CBAM-C3TR: an optimized model based on transformer module and attention mechanism for apple leaf disease detection

open access: yesFrontiers in Plant Science
Apple trees face various challenges during cultivation. Apple leaves, as the key part of the apple tree for photosynthesis, occupy most of the area of the tree.
Meng Lv, Wen-Hao Su
doaj   +1 more source

Identification of Apple Leaf Diseases Based on Deep Convolutional Neural Networks

open access: yes, 2017
Mosaic, Rust, Brown spot, and Alternaria leaf spot are the four common types of apple leaf diseases. Early diagnosis and accurate identification of apple leaf diseases can control the spread of infection and ensure the healthy development of the apple ...
DongJian He   +3 more
core   +1 more source

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