DeepRice: A deep learning and deep feature based classification of Rice leaf disease subtypes
Rice stands as a crucial staple food globally, with its enduring sustainability hinging on the prompt detection of rice leaf diseases. Hence, efficiently detecting diseases when they have already occurred holds paramount importance for solving the cost of manual visual identification and chemical te...
Main Authors: | P. Isaac Ritharson, Kumudha Raimond, X. Anitha Mary, Jennifer Eunice Robert, Andrew J |
---|---|
Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2024-03-01
|
Series: | Artificial Intelligence in Agriculture |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2589721723000430 |
Similar Items
-
Rice Yield Prediction in Hubei Province Based on Deep Learning and the Effect of Spatial Heterogeneity
by: Shitong Zhou, et al.
Published: (2023-02-01) -
Image classification and identification for rice leaf diseases based on improved WOACW_SimpleNet
by: Yang Lu, et al.
Published: (2022-10-01) -
Deep Learning-Based Rice Leaf Diseases Detection Using Yolov5
by: Muhammad Juman Jhatial, et al.
Published: (2022-07-01) -
Deep Learning-Based Leaf Disease Detection in Crops Using Images for Agricultural Applications
by: Andrew J., et al.
Published: (2022-10-01) -
Natural Variation of Leaf Thickness and Its Association to Yield Traits in indica Rice
by: Chuan-guang LIU, et al.
Published: (2014-02-01)