AI-driven decision-making and optimization in modern agriculture sectors
- Title
- AI-driven decision-making and optimization in modern agriculture sectors
- Creator
- Jebadurai D.J.; Sheela M.V.V.; Rajeshkumar L.; Soundarya M.; Meena R.; Manickam T.; Hudson A.V.G.; Dheenadhayalan K.; Manikandan M.
- Description
- AI-driven decision-making tools have emerged as a novel technology poised to replace traditional agricultural practices. In this chapter, AI's pivotal role in steering the agricultural sector towards sustainability is highlighted, primarily through the utilization of AI techniques such as robotics, deep learning, the internet of things, image processing, and more. This chapter offers insights into the application of AI techniques in various functional areas of agriculture, including weed management, crop management, and soil management. Additionally, it underlines both the challenges and advantages presented by AIdriven applications in agriculture. In conclusion, the potential of AI in agriculture is vast, but it faces various impediments that, when properly identified and addressed, can expand its scope. This chapter serves as a valuable resource for government authorities, policymakers, and scientists seeking to explore the untapped potential of AI's significance in agriculture. 2024, IGI Global. All rights reserved.
- Source
- Using Traditional Design Methods to Enhance AI-Driven Decision Making, pp. 269-288.
- Date
- 2024-01-01
- Publisher
- IGI Global
- Coverage
- Jebadurai D.J., St. Joseph's College of Engineering, Chennai, India; Sheela M.V.V., Aarupadai Veedu Institute of Technology, Vinayaka Mission's Research Foundation, India; Rajeshkumar L., St. Joseph's College of Engineering, Chennai, India; Soundarya M., Sathyabama Institute of Science and Technology, India; Meena R., Dr. Umayal Ramanathan College for Women, India; Manickam T., Christ University, India; Hudson A.V.G., Ayya Nadar Janaki Ammal College, India; Dheenadhayalan K., Mepco Schlenk Engineering College, India; Manikandan M., SRM University, India
- Rights
- Restricted Access
- Relation
- ISBN: 979-836930640-6; 979-836930639-0
- Format
- Online
- Language
- English
- Type
- Book chapter
Collection
Citation
Jebadurai D.J.; Sheela M.V.V.; Rajeshkumar L.; Soundarya M.; Meena R.; Manickam T.; Hudson A.V.G.; Dheenadhayalan K.; Manikandan M., “AI-driven decision-making and optimization in modern agriculture sectors,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/17847.