Construction and verification of machine vision algorithm model based on apple leaf disease images

G Ang, R Han, S Yuepeng, R Longlong, Z Yue… - Frontiers in Plant …, 2023 - frontiersin.org
Apple leaf diseases without timely control will affect fruit quality and yield, intelligent
detection of apple leaf diseases was especially important. So this paper mainly focuses on …

New Trends and Challenges in Precision and Digital Agriculture

G Niedbała, M Piekutowska, P Hara - Agronomy, 2023 - mdpi.com
Real change is needed in the agricultural sector to meet the challenges of the 21st century
in terms of humanity's food needs. Activities related to the modernization of agricultural …

SM-CycleGAN: crop image data enhancement method based on self-attention mechanism CycleGAN

D Liu, Y Cao, J Yang, J Wei, J Zhang, C Rao, B Wu… - Scientific Reports, 2024 - nature.com
Crop disease detection and crop baking stage judgement require large image data to
improve accuracy. However, the existing crop disease image datasets have high asymmetry …

Deep Learning-Based Web Application for Real-Time Apple Leaf Disease Detection and Classification

S Kumar, R Kumar, M Gupta… - … on Advancements in …, 2024 - ieeexplore.ieee.org
Agriculture is the most significant industry in the economy of India. Various kinds of diseases
affect the leaves of plants and influence the productivity of crops. Apple farmers are also …

Identification of leaf diseases in field crops based on improved ShuffleNetV2

H Zhou, J Chen, X Niu, Z Dai, L Qin, L Ma, J Li… - Frontiers in Plant …, 2024 - frontiersin.org
Rapid and accurate identification and timely protection of crop disease is of great
importance for ensuring crop yields. Aiming at the problems of large model parameters of …

Identification of Tea Disease under complex backgrounds based on Minimalism neural network architecture and Channel Reconstruction Unit

S Li, Z Zhang, S Li - IEEE Access, 2024 - ieeexplore.ieee.org
Tea production plays a crucial role in maintaining agricultural output, and the prompt
diagnosis and efficient management of tea diseases are essential for ensuring a healthy tea …

基于轻量级残差网络的苹果叶病识别

周罕觅, 陈佳庚, 代智光, 牛晓丽, 秦龙, 向友珍, 赵龙 - 福建农业学报, 2024 - fjnyxb.cn
目的解决卷积神经网络在复杂环境下识别率低, 模型参数多等问题, 为苹果叶病智能识别提供
参考. 方法本研究提出一种基于改进ResNet18 的苹果叶病识别模型. 首先, 通过离线增强和在线 …

An Efficient Deep Transfer Learning based Apple Leaf Disease Classification

MI Nazir, MO Ullah, A Akter - 2023 26th International …, 2023 - ieeexplore.ieee.org
The accurate identification and classification of plant diseases are vital for protecting the
world's food supply and the financial interests of stakeholders. While deep learning-based …

Classification of Apple Plant Leaf Diseases Using Deep Convolutional Neural Network

M Aslam, MU Sana, T Kiren, MJ Irshad - The Asian Bulletin of Big Data …, 2024 - abbdm.com
Food production is one of the main sources of income and livelihood in the world. Various
agricultural products are grown as essential food in the largest areas of World. According to …

[PDF][PDF] Tecnologías emergentes para el agro y su aplicación en Colombia

JO Másmela, F Romero-Perdomo, CU Galvis - repository.agrosavia.co
La agricultura juega un rol vital en el desarrollo de la sociedad al ser un componente clave
en el sector económico para el crecimiento del producto interno bruto de la mayoría de los …