AI for Optimization of Farming Resources and their Management
- Title
- AI for Optimization of Farming Resources and their Management
- Creator
- Indu P.V.; Nanjundan P.; Thomas L.
- Description
- The chapter explores the incorporation of artificial intelligence (AI) into framework strategies aimed at addressing the dynamic challenges confronting the agricultural industry. It focuses on issues like resource depletion, escalating labor costs, and the impacts of climate change, emphasizing the necessity for inventive solutions. The proposed framework adopts a comprehensive approach that integrates farm-to-fork strategies, smart agricultural practices, and advanced crop planning. Its primary objectives are to enhance crop yields, establish transparent supply chains, and optimize resource allocation. The chapter underscores the potential synergies associated with contextual understanding, efficient communication, and personalized user experiences, anticipating a transformative impact on agriculture. The integration of AI is anticipated to yield unprecedented benefits, paving the way for a more technologically advanced, sustainable, and productive future. Despite these promising prospects, challenges emerge during the integration process, manifesting as regulatory hurdles, infrastructure deficiencies, and inherent complexities. The chapter acknowledges these obstacles and asserts that overcoming them is crucial for realizing the full transformative potential of AI in agriculture. Looking ahead, the convergence of AI and framing strategies is poised to revolutionize the agricultural landscape, ushering in increased efficiency and sustainability. This innovative partnership holds the promise of building a resilient foundation for agriculture, ensuring its adaptability to changing needs and contributing to a greener and more productive future. 2025 selection and editorial matter, Sirisha Potluri, Suneeta Satpathy, Santi Swarup Basa, and Antonio Zuorro; individual chapters, the contributors. All rights reserved.
- Source
- AI in Agriculture for Sustainable and Economic Management, pp. 42-52.
- Date
- 2024-01-01
- Publisher
- CRC Press
- Coverage
- Indu P.V., CHRIST University, Pune, India; Nanjundan P., CHRIST University, Lavasa Campus, Pune, India; Thomas L., CHRIST University, Lavasa Campus, Pune, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-104009810-3; 978-103258569-7
- Format
- Online
- Language
- English
- Type
- Book chapter
Collection
Citation
Indu P.V.; Nanjundan P.; Thomas L., “AI for Optimization of Farming Resources and their Management,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/17976.