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Application of IOT and machine learning in crop protection against animal intrusion

  • Published:2021-11 Issue:2 Volume:2 Page:169-174
  • ISSN:2666-285X
  • Container-title:Global Transitions Proceedings
  • language:en
  • Short-container-title:Global Transitions Proceedings

Author:

Balakrishna K,Mohammed Fazil,Ullas C.R.,Hema C.M.,Sonakshi S.K.

Publisher

Elsevier BV

Reference25 articles.

1. National food production stabilized by crop diversity;Renard;Nature,2019

2. Internet of Things in agriculture: a survey;Abbasi,2019

3. IoT Based automated crop protection system;Gogul Dev,2019

4. Remote sensing and machine learning for crop water stress determination in various crops: a critical review;Virnodkar;Precision Agric,2020

5. Object recognition and security improvement by enhancing the features of CCTV;Kanyal,2020

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1. An experimental study of acoustic bird repellents for reducing bird encroachment in pear orchards;Frontiers in Plant Science;2024-09-09

2. A Microservice-Based Smart Agriculture System to Detect Animal Intrusion at the Edge;Future Internet;2024-08-16

3. Development of Technologies for Prevention of Wild-Animal Related Losses to Agricultural Fields;Journal of The Institution of Engineers (India): Series B;2024-07-15

4. VanyaRakshak: Intelligent System Approach to Intrusion Detection in Rainforest;2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2024-06-05

5. IoT-based real-time object detection system for crop protection and agriculture field security;Journal of Real-Time Image Processing;2024-06-02
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