Advancements in IoT-Enabled Farm Machinery and Sustainable Water Management Practices
Samiran Das,
Asaruddin Sheikh,
Pritam Singh Balai and
Babakrishna Kuli
International Journal of Scientific Research in Science and Technology, 2025, vol. 12, issue 2, 377-388
Abstract:
With internet of things (IoT) technologies modern agriculture has significantly enhanced its farming efficiency and sustainability. This review explores advancements in IoT-enabled farm machinery and their role in promoting sustainable water management practices. IoT-based solutions, such as smart irrigation systems, autonomous equipment, and livestock monitoring tools, enable precise resource allocation, reducing water waste by up to 50% compared to traditional methods. These technologies facilitate real-time data collection and analysis, allowing farmers to optimize irrigation schedules, monitor water quality, and implement rainwater harvesting systems effectively. Studies show that precision agriculture techniques can improve water use efficiency by 20-30%, while IoT-enabled water quality monitoring reduces crop losses due to contamination by 15-25%. Despite their potential, challenges such as high costs, technical expertise requirements, and connectivity issues hinder widespread adoption. Future prospects include the integration of artificial intelligence, development of low-cost solutions, and policy support to overcome these barriers. By addressing global water scarcity and improving agricultural productivity, IoT-enabled innovations are paving the way for a more sustainable and resilient farming sector, crucial for ensuring food security in the face of climate change and population growth.
Keywords: IoT-Enabled Agriculture; Smart Farm Machinery; Precision Irrigation; Sustainable Water Management; Agri-Tech Innovations (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ijsrst.com/home/article/view/IJSRST25121207 Abstract page (text/html)
https://ijsrst.com/home/article/download/IJSRST25121207/IJSRST25121207 Full text (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:etm:ijsrst:v12:y2025:i2:id:628
DOI: 10.32628/IJSRST25121207
Access Statistics for this article
More articles in International Journal of Scientific Research in Science and Technology from Technoscience Academy
Bibliographic data for series maintained by Pankaj Sharma ().