From tradition to technology: The impact of ai and IoT on agronomy practices in India and internationally

Agriculture is undergoing a significant transformation due to the integration of Artificial Intelligence (AI) and the Internet of Things (IoT). These technologies have revolutionized traditional farming methods, enabling precision agriculture, resource optimization, and real-time decision-making. This study explores the impact of AI and IoT on agronomic practices in India and globally, focusing on their role in crop management, pest control, and sustainable farming. The findings highlight the advantages of AI-driven predictive analytics and IoT-enabled smart sensors in improving productivity, reducing resource wastage, and ensuring environmental sustainability. Despite the numerous benefits, challenges such as high implementation costs, lack of technical expertise, and infrastructure limitations hinder widespread adoption. This paper underscores the need for policy support, farmer education, and technological advancements to enhance the scalability of AI and IoT in agriculture.

Authors

Publication Details

Journal
International Journal of Research in Agronomy
Published
2025-03-01
DOI
https://doi.org/10.33545/2618060x.2025.v8.i3sc.2683
Citations
3
Primary Topic
Agricultural Economics and Practices
Type
article
Field-Weighted Citation Impact
14.50
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From tradition to technology: The impact of ai and IoT on agronomy practices in India and internationally

S. N. Tewari, Anup Pratap Singh, Vinay Kumar Patel, Sonu Kumar et al.
3 citations
International Journal of Research in Agronomy
Agricultural Economics and Practices
14.50
article

From tradition to technology: The impact of ai and IoT on agronomy practices in India and internationally

S. N. Tewari, Anup Pratap Singh, Vinay Kumar Patel, Sonu Kumar, P. C. Chaurasiya, Mohan Singh, Om Chandra Pandey
article en
3 citations

Abstract

Agriculture is undergoing a significant transformation due to the integration of Artificial Intelligence (AI) and the Internet of Things (IoT). These technologies have revolutionized traditional farming methods, enabling precision agriculture, resource optimization, and real-time decision-making. This study explores the impact of AI and IoT on agronomic practices in India and globally, focusing on their role in crop management, pest control, and sustainable farming. The findings highlight the advantages of AI-driven predictive analytics and IoT-enabled smart sensors in improving productivity, reducing resource wastage, and ensuring environmental sustainability. Despite the numerous benefits, challenges such as high implementation costs, lack of technical expertise, and infrastructure limitations hinder widespread adoption. This paper underscores the need for policy support, farmer education, and technological advancements to enhance the scalability of AI and IoT in agriculture.

International Journal of Research in AgronomyVol. 8(3S)
Zero hunger
Openalex Percentile: Top 2%
Agricultural Economics and Practices
14.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.