Strategy for Artificial Intelligence
Aditya Kumar,
Binita Kumari () and
Pradeep Mishra
Additional contact information
Aditya Kumar: Udai Pratap (Autonomous) College
Binita Kumari: Rashtriya Kisan (PG) College
Pradeep Mishra: J.N.K.V.V. College of Agriculture
Chapter Chapter 10 in Transforming Agriculture through Artificial Intelligence for Sustainable Food Systems, 2025, pp 155-189 from Springer
Abstract:
Abstract Artificial intelligence and the Internet of Things (IoT) are revolutionizing agriculture by enabling intelligent systems capable of real-time monitoring, control, and visualization of farm operations. These technologies conserve soil fertility, reduce water, pesticide, and herbicide use, and improve labour efficiency. However, poor data quality, restricted infrastructure, and expensive implementation persist. Addressing ethical issues around data privacy and the digital divide is crucial for the future of AI and Machine Learning in agriculture. Improved IoT integration, autonomous agricultural systems, and sophisticated predictive models are keys to their success.
Keywords: Artificial Intelligence; Precision farming; Predictive analysis; Crop and Soil Management (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spr:sprchp:978-981-96-4795-8_10
Ordering information: This item can be ordered from
http://www.springer.com/9789819647958
DOI: 10.1007/978-981-96-4795-8_10
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().