Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The agricultural sector faces challenges in efficient crop management amidst population growth and environmental concerns. Smart agriculture, integrating IoT, big data analytics, and AI, offers solutions. This paper reviews smart agriculture systems focusing on sensing technologies, data analytics, decision support, and automation. It explores integration with drones, robotics, and blockchain for enhanced monitoring, resource use, and supply chain management. Benefits, challenges, and future prospects of smart agriculture are discussed.
"Smart agriculture system for efficient crop management", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 4, page no.365 - 367, April-2024, Available :http://www.ijrti.org/papers/IJRTI2404051.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator