Current Research in Agriculture and Farming (CRAF)
Year : 2022, Volume 3, Issue 5
First page : 31-38
Article doi: : http://dx.doi.org/10.18782/2582-7146.330
Precision Farming Technologies in Modern Agriculture: Opportunities, Challenges, and Adoption Strategies
Mandeep Kumar1*, Ravikesh Kumar Pal2, Jitendra Kumar3
1Ph.D scholar Agronomy, Bihar Agricultural University, Sabour Bhagalpur, Bihar
2Ph.D Reaserch Scholar, CSA University Kanpur
3Assistant Professor, Horticulture (Vegetable Science),
Faculty of Agricultural Sciences and allied Industries, Rama University, Kanpur, UP
*Corresponding Author E-mail: mandeepmaurya9198@gmail.com
Received: 5.04.2022 | Revised: 29.06.2022 | Accepted: 13.07.2022
ABSTRACT
Precision farming technologies are transforming modern agriculture by enabling data-driven, site-specific crop management that enhances productivity, resource efficiency, and environmental sustainability. Innovations such as the Internet of Things (IoT), Global Positioning System (GPS), Geographic Information Systems (GIS), remote sensing, drones, artificial intelligence (AI), and machine learning facilitate real-time monitoring and informed decision-making. These technologies optimize irrigation, nutrient management, pest control, and yield prediction while reducing input costs and ecological impacts. Despite their potential, challenges including high implementation costs, limited technical expertise, infrastructure gaps, and data privacy concerns hinder widespread adoption. Effective policy support, farmer training, financial incentives, and digital infrastructure are essential to accelerate adoption and maximize the benefits of precision agriculture for sustainable food production.
Keywords: Precision agriculture; Variable-rate technology; Remote sensing; Smallholder adoption; Sustainable farming.
Full Text : PDF; Journal doi : http://dx.doi.org/10.18782/2582-7146.330
Cite this article: Kumar, M., Pal, R. K., & Kumar, J. (2022). Precision Farming Technologies in Modern Agriculture: Opportunities, Challenges, and Adoption Strategies, Curr. Rese. Agri. Far. 3(5), 31-38. doi: http://dx.doi.org/10.18782/2582-7146.330