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 …

Current state of hyperspectral remote sensing for early plant disease detection: A review

A Terentev, V Dolzhenko, A Fedotov, D Eremenko - Sensors, 2022 - mdpi.com
The development of hyperspectral remote sensing equipment, in recent years, has provided
plant protection professionals with a new mechanism for assessing the phytosanitary state of …

Recognition of rice leaf diseases and wheat leaf diseases based on multi-task deep transfer learning

Z Jiang, Z Dong, W Jiang, Y Yang - Computers and Electronics in …, 2021 - Elsevier
More than two-thirds of human in the world view rice or wheat as their diet, rice and wheat
are grown in some regions of China and other countries in Asian. However, a variety of …

Early detection of plant viral disease using hyperspectral imaging and deep learning

C Nguyen, V Sagan, M Maimaitiyiming… - Sensors, 2021 - mdpi.com
Early detection of grapevine viral diseases is critical for early interventions in order to
prevent the disease from spreading to the entire vineyard. Hyperspectral remote sensing …

Early identification of strawberry leaves disease utilizing hyperspectral imaging combing with spectral features, multiple vegetation indices and textural features

G Wu, Y Fang, Q Jiang, M Cui, N Li, Y Ou, Z Diao… - … and Electronics in …, 2023 - Elsevier
Gray mold is a devastating disease during the growth of strawberries, which markedly affects
strawberry yield and quality. Accurate, rapid, and nondestructive recognition in the early …

Semi-supervised few-shot learning approach for plant diseases recognition

Y Li, X Chao - Plant Methods, 2021 - Springer
Background Learning from a few samples to automatically recognize the plant leaf diseases
is an attractive and promising study to protect the agricultural yield and quality. The existing …

[HTML][HTML] Smart applications and digital technologies in viticulture: A review

J Tardaguila, M Stoll, S Gutiérrez, T Proffitt… - Smart Agricultural …, 2021 - Elsevier
It is important to continuously monitor the long-term impact of viticultural management
practices and assess opportunities for improving the environmental footprint of vineyard …

A Hybrid Model for Leaf Diseases Classification Based on the Modified Deep Transfer Learning and Ensemble Approach for Agricultural AIoT‐Based Monitoring

M Saberi Anari - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
As possible diseases develop on plant leaves, classification is constantly hampered by
obstacles such as overfitting and low accuracy. To distinguish healthy products from …

Quantitative assessment of apple mosaic disease severity based on hyperspectral images and chlorophyll content

Y Liu, Y Zhang, D Jiang, Z Zhang, Q Chang - Remote Sensing, 2023 - mdpi.com
The infection of Apple mosaic virus (ApMV) can severely damage the cellular structure of
apple leaves, leading to a decrease in leaf chlorophyll content (LCC) and reduced fruit yield …

Hyperspectral imagery applications for precision agriculture-a systemic survey

PK Sethy, C Pandey, YK Sahu, SK Behera - Multimedia Tools and …, 2022 - Springer
Hyperspectral imaging has been extensively investigated as an emerging, promising
technique for measuring the quality and protection of horticultural and agricultural products …