Trends in vision-based machine learning techniques for plant disease identification: A systematic review

PS Thakur, P Khanna, T Sheorey, A Ojha - Expert Systems with …, 2022 - Elsevier
Globally, all the major crops are significantly affected by diseases every year, as manual
inspection across diverse fields is time-consuming, tedious, and requires expert knowledge …

A systematic literature review on plant disease detection: Motivations, classification techniques, datasets, challenges, and future trends

W Shafik, A Tufail, A Namoun, LC De Silva… - Ieee …, 2023 - ieeexplore.ieee.org
Plant pests and diseases are a significant threat to almost all major types of plants and
global food security. Traditional inspection across different plant fields is time-consuming …

Modified transfer learning frameworks to identify potato leaf diseases

MG Lanjewar, P Morajkar, PP - Multimedia Tools and Applications, 2024 - Springer
Potato diseases such as early and late blight are the most lethal diseases that can cause
significant damage to potato production. Detecting these diseases early and making a …

Potato blight detection using fine-tuned CNN architecture

MH Al-Adhaileh, A Verma, THH Aldhyani, D Koundal - Mathematics, 2023 - mdpi.com
Potato is one of the major cultivated crops and provides occupations and livelihoods for
numerous people across the globe. It also contributes to the economic growth of developing …

DA‐ActNN‐YOLOV5: Hybrid YOLO v5 Model with Data Augmentation and Activation of Compression Mechanism for Potato Disease Identification

G Dai, L Hu, J Fan - Computational Intelligence and …, 2022 - Wiley Online Library
To solve the problems of weak generalization of potato early and late blight recognition
models in real complex scenarios, susceptibility to interference from crop varieties, colour …

EfficientRMT-Net—An Efficient ResNet-50 and Vision Transformers Approach for Classifying Potato Plant Leaf Diseases

K Shaheed, I Qureshi, F Abbas, S Jabbar, Q Abbas… - Sensors, 2023 - mdpi.com
The primary objective of this study is to develop an advanced, automated system for the
early detection and classification of leaf diseases in potato plants, which are among the most …

Alternaria diseases on potato and tomato

T Schmey, CS Tominello‐Ramirez… - Molecular Plant …, 2024 - Wiley Online Library
Alternaria spp. cause different diseases in potato and tomato crops. Early blight caused by
Alternaria solani and brown spot caused by Alternaria alternata are most common, but the …

Real-time detection method of window opening behavior using deep learning-based image recognition in severe cold regions

C Sun, X Guo, T Zhao, Y Han - Energy and buildings, 2022 - Elsevier
The building industry plays an important role in the effort to achieve carbon neutrality, and
window opening behavior is a major contributor to building energy consumption. In severe …

PDD-Net: Plant disease diagnoses using multilevel and multiscale convolutional neural network features

H Alghamdi, T Turki - Agriculture, 2023 - mdpi.com
Overlooked diseases in agriculture severely impact crop growth, which results in significant
losses for farmers. Unfortunately, manual field visits for plant disease diagnosis (PDD) are …

A new model based on improved VGG16 for corn weed identification

L Yang, S Xu, XY Yu, HB Long, HH Zhang… - Frontiers in Plant …, 2023 - frontiersin.org
Weeds remain one of the most important factors affecting the yield and quality of corn in
modern agricultural production. To use deep convolutional neural networks to accurately …