Compact convolutional transformer (CCT)-Based approach for whitefly attack detection in cotton crops
Cotton is one of the world's most economically significant agricultural products; however, it is
susceptible to numerous pest and virus attacks during the growing season. Pests (whitefly) …
susceptible to numerous pest and virus attacks during the growing season. Pests (whitefly) …
Exploring the trend of recognizing apple leaf disease detection through machine learning: a comprehensive analysis using bibliometric techniques
This study's foremost objectives were to scrutinize how unexpected weather affects
agricultural output and to assess how well AI-based machine learning and deep leaning …
agricultural output and to assess how well AI-based machine learning and deep leaning …
Performance analysis of chronic kidney disease through machine learning approaches
Data mining and machine learning play a vital role in health care and also medical
information and detection, Now a day machine learning techniques use awareness of some …
information and detection, Now a day machine learning techniques use awareness of some …
Collaborative Intelligence in AgriTech: Federated Learning CNN for Bean Leaf Disease Classification
This study introduces a convolutional neural network (CNN) technique based on federated
learning to classify bean leaf diseases. The research allays data privacy by allowing users to …
learning to classify bean leaf diseases. The research allays data privacy by allowing users to …
[HTML][HTML] Yolo-papaya: a papaya fruit disease detector and classifier using cnns and convolutional block attention modules
JL de Moraes, J de Oliveira Neto, C Badue… - Electronics, 2023 - mdpi.com
Agricultural losses due to post-harvest diseases can reach up to 30% of total production.
Detecting diseases in fruits at an early stage is crucial to mitigate losses and ensure the …
Detecting diseases in fruits at an early stage is crucial to mitigate losses and ensure the …
Bean Leaf Disease Diagnosis in the Age of Federated Learning and CNN: A Severity Analysis Approach
This study describes a unique federated learning method for classifying bean leaf disorders
and determining the severity of each condition using convolutional neural networks (CNNs) …
and determining the severity of each condition using convolutional neural networks (CNNs) …
Estimation of yellow rust severity in wheat using visible and thermal imaging coupled with machine learning models
Reliable and quick estimation of wheat yellow rust (WYR) severity in field is essential to
manage the disease and minimize the losses. Field experiments were conducted during …
manage the disease and minimize the losses. Field experiments were conducted during …
Deep learning based classification of papaya disease recognition
Every year many of farmers had to face a huge amount of loss due to the papaya disease.
From the last several years, thousands of researchers pay attention to the papaya disease …
From the last several years, thousands of researchers pay attention to the papaya disease …
Classifying pepper disease based on transfer learning: a deep learning approach
Pepper is cultivated all over the world and many farmers' subsistence depends on these
crops. But unfortunately, farmers who are involved in the cultivation of pepper, have to fall on …
crops. But unfortunately, farmers who are involved in the cultivation of pepper, have to fall on …
A novel enhanced vgg16 model to tackle grapevine leaves diseases with automatic method
S Mousavi, G Farahani - IEEE Access, 2022 - ieeexplore.ieee.org
Diseases of grape leaves are destructive because they spread very quickly. Therefore, they
should be detected and tackled fast. This study proposes a novel Enhanced VGG16 model …
should be detected and tackled fast. This study proposes a novel Enhanced VGG16 model …