Leaf disease detection using machine learning and deep learning: Review and challenges

C Sarkar, D Gupta, U Gupta, BB Hazarika - Applied Soft Computing, 2023 - Elsevier
Identification of leaf disorder plays an important role in the economic prosperity of any
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …

[HTML][HTML] Transfer learning for multi-crop leaf disease image classification using convolutional neural network VGG

AS Paymode, VB Malode - Artificial Intelligence in Agriculture, 2022 - Elsevier
In recent times, the use of artificial intelligence (AI) in agriculture has become the most
important. The technology adoption in agriculture if creatively approached. Controlling on …

Transformative Role of Artificial Intelligence in Advancing Sustainable Tomato (Solanum lycopersicum) Disease Management for Global Food Security: A …

B Sundararaman, S Jagdev, N Khatri - Sustainability, 2023 - mdpi.com
The growing global population and accompanying increase in food demand has put
pressure on agriculture to produce higher yields in the face of numerous challenges …

A robust deep attention dense convolutional neural network for plant leaf disease identification and classification from smart phone captured real world images

A Pandey, K Jain - Ecological Informatics, 2022 - Elsevier
Plant diseases cause significant food loss and hence economic loss around the globe.
Therefore, automatic plant disease identification is a primary task to take proper medications …

Citrus disease detection and classification using based on convolution deep neural network

H Çetiner - Microprocessors and Microsystems, 2022 - Elsevier
Plant diseases that cause instability in the food supply reduce agricultural yield and
production. As a result, it causes significant economic losses. Citrus, one of the plants, is …

[HTML][HTML] A leaf image localization based algorithm for different crops disease classification

Y Kurmi, S Gangwar - Information processing in agriculture, 2022 - Elsevier
Agricultural crop production is a major contributing element to any country's economy. To
maintain the economic growth of any country plants disease detection is a leading factor in …

Remote sensing monitoring of rice diseases and pests from different data sources: A review

Q Zheng, W Huang, Q Xia, Y Dong, H Ye, H Jiang… - Agronomy, 2023 - mdpi.com
Rice is an important food crop in China, and diseases and pests are the main factors
threatening its safety, ecology, and efficient production. The development of remote sensing …

[HTML][HTML] Optimization techniques in deep convolutional neuronal networks applied to olive diseases classification

M Lachgar, H Hrimech, A Kartit - Artificial Intelligence in Agriculture, 2022 - Elsevier
Plants diseases have a detrimental effect on the quality but also on the quantity of
agricultural production. However, the prediction of these diseases is proving the effect on …

Deep CNN model for crops' diseases detection using leaf images

Y Kurmi, P Saxena, BS Kirar, S Gangwar… - … Systems and Signal …, 2022 - Springer
The agricultural yield of any country provides the base for the development of that nation.
Sustainable growth needs to maintain crop production up to a certain level that depends on …

Enhancing plant disease detection: A novel CNN-based approach with tensor subspace learning and HOWSVD-MDA

A Ouamane, A Chouchane, Y Himeur… - Neural Computing and …, 2024 - Springer
Abstract Machine learning has revolutionized the field of agricultural science, particularly in
the early detection and management of plant diseases, which are crucial for maintaining …