[HTML][HTML] IoT and interpretable machine learning based framework for disease prediction in pearl millet

N Kundu, G Rani, VS Dhaka, K Gupta, SC Nayak… - Sensors, 2021 - mdpi.com
Decrease in crop yield and degradation in product quality due to plant diseases such as rust
and blast in pearl millet is the cause of concern for farmers and the agriculture industry. The …

Detecting crop health using machine learning techniques in smart agriculture system

R Shukla, G Dubey, P Malik, N Sindhwani, R Anand… - 2021 - nopr.niscpr.res.in
The crop diseases can't detected accurately by only analysing separate disease basis. Only
with the help of making comprehensive analysis framework, users can get the predictions of …

[HTML][HTML] Revolutionizing agriculture with artificial intelligence: plant disease detection methods, applications, and their limitations

A Jafar, N Bibi, RA Naqvi, A Sadeghi-Niaraki… - Frontiers in Plant …, 2024 - frontiersin.org
Accurate and rapid plant disease detection is critical for enhancing long-term agricultural
yield. Disease infection poses the most significant challenge in crop production, potentially …

[HTML][HTML] A comprehensive review on detection of plant disease using machine learning and deep learning approaches

C Jackulin, S Murugavalli - Measurement: Sensors, 2022 - Elsevier
Agriculture plays a significant part in India due to their population growth and increased food
demands. Hence, there is a need to enhance the yield of crop. One of these important effects …

[HTML][HTML] Disease detection, severity prediction, and crop loss estimation in MaizeCrop using deep learning

N Kundu, G Rani, VS Dhaka, K Gupta… - Artificial intelligence in …, 2022 - Elsevier
The increasing gap between the demand and productivity of maize crop is a point of concern
for the food industry, and farmers. Its' susceptibility to diseases such as Turcicum Leaf Blight …

Agricultural plant diseases identification: From traditional approach to deep learning

J Kotwal, R Kashyap, S Pathan - Materials Today: Proceedings, 2023 - Elsevier
Plant disease computerization in agriculture areas an important for every country, as the
population rate increases the demand for food supply also increases. Today, the significant …

A novel framework for image-based plant disease detection using hybrid deep learning approach

A Chug, A Bhatia, AP Singh, D Singh - Soft Computing, 2023 - Springer
The agriculture sector contributes significantly to the economic growth of a country.
However, plant diseases are one of the leading causes of crop destruction that decreases …

Leaf disease classification in smart agriculture using deep neural network architecture and IoT

K Ramana, R Aluvala, MR Kumar… - Journal of Circuits …, 2022 - World Scientific
The Internet of Things (IoT) is bringing a new dimension to the smart farming market. This
helps the user to collect the data from the agricultural fields in real time and move it to …

Classification of rice diseases using convolutional neural network models

R Yakkundimath, G Saunshi, B Anami… - Journal of The Institution …, 2022 - Springer
Automatic diagnosis and control of rice plant disease are highly desired by agricultural
experts. Many machine learning approaches have been proposed in automating rice …

Machine learning and deep learning based computational techniques in automatic agricultural diseases detection: Methodologies, applications, and challenges

JA Wani, S Sharma, M Muzamil, S Ahmed… - … methods in Engineering, 2022 - Springer
Plant disease detection is a critical issue that needs to be focused on for productive
agriculture and economy. Detecting plant disease using traditional methods is a tedious job …