Prediction of Rice Plant Diseases Based on Soil and Weather Conditions-Reference-Cited by-同舟云学术

Prediction of Rice Plant Diseases Based on Soil and Weather Conditions

Published:2021 Issue: Volume: Page:155-165
ISSN:2662-3447
Container-title:Learning and Analytics in Intelligent Systems
language:
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Author:

Maneesha Akula,Suresh Chalumuru,Kiranmayee B. V.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-9293-5_14

Reference22 articles.

1. L. Madhusudhan, Agriculture role on Indian agriculture. Bus. Econ. J. (2015)

2. Y. Kim, J-H. Roh, Early forecasting of rice blast disease us-ing long short-term memory recurrent neural networks. MDPI (2017)

3. K.S. Archana1, A. Sahayadhas. Automatic rice leaf disease segmentation using image processing techniques. Int. J. Eng. Technol. (2018)

4. A. Badage, Crop disease detection using machine learning: Indian agriculture. IRJET (2018)

5. N. Vinayak, Malavade, P.K. Akulwar, Role of IoT in agriculture. IOSR Journal of Computer Engineering, National Conference on “Changing Technology and Rural Development (2016)

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