Integrating Machine Learning with Wireless Sensor Networks in Agriculture

Author(s)	SWAPNA.B
Country	India
Abstract	This review paper explores the synergistic integration of Wireless Sensor Networks (WSNs) and Machine Learning (ML) in the realm of agriculture, presenting a comprehensive examination of how these technologies collectively contribute to precision farming and sustainable agricultural practices. The paper discusses the key components of this integration, including sensor technologies, communication protocols, data processing techniques, and the application of ML algorithms in optimizing decision-making processes for enhanced agricultural productivity.
Keywords	Wireless Sensor Networks, Machine Learning, Agriculture, Precision Farming, Sensor Technologies, Communication Protocols, Data Processing, Sustainable Agriculture.
Field	Computer > Network / Security
Published In	Volume 6, Issue 1, January-February 2024
Published On	2024-01-11
Cite This	Integrating Machine Learning with Wireless Sensor Networks in Agriculture - SWAPNA.B - IJFMR Volume 6, Issue 1, January-February 2024. DOI 10.36948/ijfmr.2024.v06i01.11453
DOI	https://doi.org/10.36948/ijfmr.2024.v06i01.11453
Short DOI	https://doi.org/gtdsc7

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9898-5948-55	editor@ijfmr.com

International Journal For Multidisciplinary Research