Exploring AI and ML Strategies for Crop Health Monitoring and Management
- Title
- Exploring AI and ML Strategies for Crop Health Monitoring and Management
- Creator
- Nanjundan P.; Indu P.V.; Thomas L.
- Description
- This chapter offers a thorough examination of machine learning (ML) and artificial intelligence (AI) approaches designed especially for agricultural crop health monitoring. The story starts with a basic introduction to AI and ML ideas and then covers supervised and unsupervised learning approaches, the fundamentals of reinforcement learning, and the significance of high-quality data preparation in agricultural settings. This chapter explores the use of deep learning architectures and neural networks, explaining how they can be used to simulate human brain activity and how they can be used in picture identification to identify crop diseases. A detailed analysis is conducted of the practical aspects of ML for agriculture, encompassing feature engineering and model assessment methodologies. Additionally, the chapter highlights the ethical issues involved in the proper application of AI/ML models in agricultural contexts. These kinds of applications. In conclusion, the chapter discusses obstacles, offers predictions for future developments, and discusses new lines of inquiry for AI and ML research related to crop health monitoring. Through this thorough research, the chapter seeks to offer insightful information on the transformative potential of AI/ML approaches in supporting efficient and sustainable agriculture practices for improved crop health management. (Publisher name) (publishing year) all right reserved.
- Source
- Sustainable Farming through Machine Learning Enhancing: Productivity and Efficiency, pp. 1-15.
- Date
- 2024-01-01
- Publisher
- CRC Press
- Coverage
- Nanjundan P., Department of Data Science, CHRIST University, Pune Lavasa Campus, Maharashtra, Lavasa, India; Indu P.V., Department of Data Science, CHRIST University, Pune Lavasa Campus, Maharashtra, Lavasa, India; Thomas L., Department of Psychology, CHRIST University, Pune Lavasa Campus, Maharashtra, Lavasa, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-104025478-3; 978-103277749-8
- Format
- Online
- Language
- English
- Type
- Book chapter
Collection
Citation
Nanjundan P.; Indu P.V.; Thomas L., “Exploring AI and ML Strategies for Crop Health Monitoring and Management,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/17889.