An IoT-Based Pest Detection and Alert System for Farmers Using CNN-LSTM Approach-Reference-Cited by-同舟云学术

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An IoT-Based Pest Detection and Alert System for Farmers Using CNN-LSTM Approach

Published:2023-10-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS)
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Author:

Laxmi M.¹,Koshariya Ashok Kumar²,Hazela Bramah³,Singh Prashant⁴,M Manju⁵,Jeyaselvi M.⁶

Affiliation:

1. Geethanjali College of Engineering and Technology, Cheeryal,ECE,Hyderabad,Telangana,India

2. Collage of Agriculture and Research Station, Indira Gandhi Krishi Vishwavidyalaya,Department of Plant Pathology,Fingeshwar-Gariyaband,Chhattisgarh,India

3. Amity School of Engineering & Technology, Amity University,Uttar Pradesh,India

4. Amity School of Engineering & Technology, Lucknow Amity University,Uttar Pradesh,India

5. School of Agriculture, SR University,Warangal,Telangana

6. SRM Institute of Science and Technology,Department of Networking and Communications,Kattankulathur,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10330805/10331621/10331642.pdf?arnumber=10331642

Reference26 articles.

1. Forecasting the global extent of invasion of the cereal pest Spodoptera frugiperda, the fall armyworm

2. Early Warning Systems as a Component of Integrated Pest Management to Prevent the Introduction of Exotic Pests

3. Fall Armyworm: Impacts and Implications for Africa

4. Invasive species and climate change: an agronomic perspective

5. Mobile sensing for agriculture activities detection

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