Plant diseases detection using artificial intelligence-Reference-Cited by-同舟云学术

Plant diseases detection using artificial intelligence

Published:2022 Issue: Volume: Page:173-190
ISSN:
Container-title:Application of Machine Learning in Agriculture
language:
Short-container-title:

Author:

Anand Ravi,Mishra Ritesh K.,Khan Rijwan

Publisher

Elsevier

Reference36 articles.

1. Non-destructive techniques of detecting plant diseases: A review;Ali;Physiological and Molecular Plant Pathology,2019

2. Digital image processing techniques for detecting, quantifying and classifying plant diseases;Arnal Barbedo;Springer Plus,2013

3. In: Hybrid computational intelligence: research and applications, Debashis De (eds.);Bhattacharyya,2019

4. A review on machine learning techniques for rice plant disease detection in agricultural research;Daniya;International Journal of Advanced Science and Technology,2019

5. Image processing based leaf rot disease, detection of betel vine (Piper betle L.);Dey;Procedia Computer Science,2016

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improved Tunicate Swarm Optimization Based Hybrid Convolutional Neural Network for Classification of Leaf Diseases and Nutrient Deficiencies in Rice (Oryza);Agronomy;2024-08-21

2. Impact of novel methods and research approaches in plant pathology: Are individual advances sufficient to meet the wider challenges of disease management?;Plant Pathology;2024-05-29

3. Wheat Crop Disease Detection and Classification Using Machine Learning;Advances in Web Technologies and Engineering;2024-01-25

4. Determination of C4.5 Algorithm Performance Based on Training Data and Testing Data in Determining Diseases in Rice Plants;2023 International Conference of Computer Science and Information Technology (ICOSNIKOM);2023-11-10

5. Leaf area estimation in lettuce: Comparison of artificial intelligence-based methods with image analysis technique;Measurement;2023-11