Smart IoT-Based Pesticides Recommendation System for Rice Diseases-Reference-Cited by-同舟云学术

Smart IoT-Based Pesticides Recommendation System for Rice Diseases

Published:2023 Issue: Volume: Page:17-25
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Kumar Sumit,Patil Rutuja Rajendra,Rani Ruchi

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-6581-4_2

Reference17 articles.

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2. Kumar A, Sarkar S, Pradhan C (2019) Recommendation system for crop identification and pest control technique in agriculture. In: Proceeding of 2019 IEEE international conference on communication and signal processing ICCSP 2019, no April 2019, pp 185–189. https://doi.org/10.1109/ICCSP.2019.8698099

3. Agrawal MM, Agrawal S (2020) Rice plant disease detection and classification using deep learning models: a systematic review. J Crit Rev 7(11):4376–4390

4. Garg S, Pundir P, Jindal H, Saini H, Garg S (2021) Towards a multimodal system for precision agriculture using IoT and machine learning. https://doi.org/10.1109/icccnt51525.2021.9579646

5. Sood S, Singh H (2020) An implementation and analysis of deep learning models for the detection of wheat rust disease. In: Proceeding of 3rd international conference on intelligence sustainability system ICISS 2020, no December 2020, pp 341–347. https://doi.org/10.1109/ICISS49785.2020.9316123

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