Deep learning for plant identification and disease classification from leaf images: multi-prediction approaches

J Yao, SN Tran, S Garg, S Sawyer - ACM Computing Surveys, 2024 - dl.acm.org
Deep learning (DL) plays an important role in modern agriculture, especially in plant
pathology using leaf images where convolutional neural networks (CNN) are attracting a lot …

Assessment of state-of-the-art deep learning based citrus disease detection techniques using annotated optical leaf images

S Dananjayan, Y Tang, J Zhuang, C Hou… - computers and Electronics …, 2022 - Elsevier
Citrus (Citrus reticulata) plants are affected by several diseases and require keen attention
to detect and cure the diseases in time; otherwise, significant financial loss is incurred. With …

Machine learning for leaf disease classification: data, techniques and applications

J Yao, SN Tran, S Sawyer, S Garg - Artificial Intelligence Review, 2023 - Springer
The growing demand for sustainable development brings a series of information
technologies to help agriculture production. Especially, the emergence of machine learning …

CNN and transfer learning methods with augmentation for citrus leaf diseases detection using PaaS cloud on mobile

MG Lanjewar, JS Parab - Multimedia Tools and Applications, 2024 - Springer
Leaf and fruit infections are the primary cause of the maximum harm to the crop, which
decreases the quality and amount of the goods. To improve the productivity of plants, the …

Research on a PSO-H-SVM-based intrusion detection method for industrial robotic arms

Y Zhou, L Xie, H Pan - Applied Sciences, 2022 - mdpi.com
Featured Application This research is mainly used for intrusion detection against physical
process logic attacks that industrial robotic arms may be subject to, and the establishment of …

An automatic detection of citrus fruits and leaves diseases using enhanced convolutional neural network

R Shastri, A Chaturvedi, B Mouleswararao… - Remote Sensing in …, 2023 - Springer
Accurate and timely detection of diseases present in citrus crops is a crucial task for effective
crop management and the prevention of yield loss. Traditional methods of disease detection …

Disease Classification in Citrus Leaf using Deep Learning

PS Duth, SG Bhat - … on Data Science and Information System …, 2022 - ieeexplore.ieee.org
India is an agricultural country. Its economy is largely based on crop production. The
continuous improvement of India's agriculture sector is required to maintain its competitive …

Automatic detection and classification of disease in citrus fruit and leaves using a customized CNN based model

PJ Shermila, A Victor, SO Manoj… - … Latinoamericano y del …, 2024 - blacpma.ms-editions.cl
El avance y desarrollo comercial de India dependen en gran medida de la agricultura. Un
tipo de fruta comunmente cultivada en entornos tropicales es el cítrico. Se requiere un juicio …

[PDF][PDF] A Comprehensive Survey on Machine Learning and Deep Learning Techniques for Crop Disease Prediction in Smart Agriculture.

C Subbarayudu, M Kubendiran - Nature Environment & Pollution …, 2024 - neptjournal.com
Diseases caused by bacteria, fungi, and viruses are a problem for many crops. Farmers
have challenges when trying to evaluate their crops daily by manual inspection across all …

Prediction of tomato leaf disease using transfer learning algorithms InceptionV3 and Inception Resnetv2

U Myneni, G Pradeepini - AIP Conference Proceedings, 2023 - pubs.aip.org
It is crucial to detect and control plant disease in advance for better yield from crops. Plant
diseases can be detected using leaves because the color, spots, and texture are different …