Work

AI and Sustainable Agriculture Through Cost–Benefit Analysis of Smart Irrigation Systems

Year: 2025

Type: article

Abstract: The advancing role of Artificial Intelligence (AI) and its application in agriculture have disrupted traditional agricultural practices, with smart irrigation systems representing one of the leading technologies enabling sustainable agriculture. Smart irrigation systems utilize real–time data, machine learning algorithms, and predictive analytics to better optimize irrigation water use, limit wasted resources, and improve the yields of crop products. The proposed research will assess the economic and environmental impacts of AI smart irrigation systems with a full costs–benefits analysis. The proposed research considers both the capital cost and operating cost of smart irrigation systems and compares these traditional irrigation practices while also examining the long–term benefits of potential water savings from Smart Irrigation Systems, expanded agricultural production, and reduced human labour. This will give context for measuring the impacts of Smart Irrigation Systems on farm businesses, including both opportunities and barriers to adoption. Additionally, using a formal literature review to lock down existing research and surveys of irrigation farmers to collect a field data set will provide the proposed researchers a collective sample to measure the efficacy of AI smart irrigation systems, identify barriers, compare opportunities, and measure performance under differing climate and soil properties. The research will find high and substantial respective levels of benefits from the implementation of AI–based smart systems, particularly in water–stressed systems with positive impacts on farm profitability, private, and environmental conservation. This research is essential for informing stakeholders of actions and the delivery of AI–enabled solutions in support of more sustainable agricultural practices.

Source: Research on World Agricultural Economy

DOI: 10.36956/rwae.v6i4.2503

Authors: Jami Venkata Suman, Kalisetti Purushotham Prasad, A. Sampath Dakshina Murthy, R. Gurunadha, Mamidipaka Hema, Omprakash Gurrapu

Institutions: GMR Institute of Technology, Jawaharlal Nehru Technological University-Gurajada, Vizianagaram, Volvo (United States)

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDGs: Zero hunger, Climate action, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $400