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Precision agriculture with AI-based responsive monitoring algorithm

  • Published:2024-05 Issue: Volume:271 Page:109204
  • ISSN:0925-5273
  • Container-title:International Journal of Production Economics
  • language:en
  • Short-container-title:International Journal of Production Economics

Author:

Dusadeerungsikul Puwadol Oak,Nof Shimon Y.

Funder

Chulalongkorn University

United States Israel Binational Agricultural Research and Development Fund

National Science Foundation Division of Undergraduate Education

Publisher

Elsevier BV

Reference51 articles.

1. Plant disease identification from individual lesions and spots using deep learning;Arnal Barbedo;Biosyst. Eng.,2019

2. Plant information systems, manufacturing capabilities, and plant performance;Banker;MIS Q.,2006

3. A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework;Bari;PeerJ Computer Science,2021

4. Agricultural robotics for precision agriculture tasks: concepts and principles;Bechar,2021

5. Detection of early plant stress responses in hyperspectral images;Behmann;ISPRS J. Photogrammetry Remote Sens.,2014

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3. Cyber-Collaborative Optimal Search Protocol for Precision Agriculture (CCOSP);Automation, Collaboration, & E-Services;2024

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