Leveraging artificial intelligence for sustainable development in agriculture: An exploratory study
- Title
- Leveraging artificial intelligence for sustainable development in agriculture: An exploratory study
- Creator
- Pandey, Ananya; Joseph, Jipson
- Description
- In a world where sustainability has been given utmost priority, agriculture plays a pivotal role. Artificial Intelligence in the agricultural sector has changed the landscape of agriculture across the globe. 'Agvolution' (evolution in agriculture) including AI supported precision farming methods, data analytics, and robotics is a novel strategy which increases crop yields using less fertilizers, and energy. AI in agriculture supports ethical farming, boost revenue, and lessen negative environmental effects. AI systems aggregate data from weather stations, sensors, and satellites to produce improved weather forecasts. This mechanism enhances environmental sustainability. Despite numerous advantages with AI, the farming community face challenges like data security and privacy, high cost of machines and tools. In light of the above, the authors explore the usage of AI in agriculture to attain sustainability, and analyze the need to establish governance structures for increasing food security and systems to overcome the challenges faced by the farmers. 2025, IGI Global Scientific Publishing. All rights reserved.
- Source
- Artificial Intelligence and Data Science for Sustainability: Applications and Methods;pp.187-211
- Date
- 01-01-2025
- Publisher
- IGI Global
- Coverage
- Pandey A., Christ University, Bangalore, India; Joseph J., Christ University, Bangalore, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISBN: 979-836936831-2; 979-836936830-5;
- Format
- online
- Language
- English
- Type
- Book chapter
Collection
Citation
Pandey, Ananya; Joseph, Jipson, “Leveraging artificial intelligence for sustainable development in agriculture: An exploratory study,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/24981.
