Affiliation:
1. Hindustan Institute of Technolgy and Science, India
2. Hindustan Institute of Technology and Science, India
Abstract
The chapter explores the transformative role of trustworthy AI in the agricultural landscape by harnessing the power of IoT sensory data. The journey begins with an exploration of the intersection between AI and IoT in agriculture, emphasizing the pivotal significance of trustworthy AI. The chapter unravels the challenges and opportunities in processing IoT sensory data, shedding light on ways to enhance AI reliability. It then delves into the fusion of soil moisture and weather sensory data, showcasing the importance of data preprocessing for precise insights. The discussion expands to remote monitoring and control, highlighting user-friendly interfaces and their contribution to sustainable agriculture. Security measures for trustworthiness are addressed, emphasizing data security, privacy, and protection against unauthorized access. The chapter concludes with a recapitulation of Trustworthy AI's pivotal role in agriculture, offering insights into future directions and implications for this dynamic field.
Reference47 articles.
1. Data Security and Privacy in IoT-Based Smart Agriculture: Current Status and Challenges.;M.Alam;IEEE Access : Practical Innovations, Open Solutions,2018
2. Application of Smart Techniques, Internet of Things and Data Mining for Resource Use Efficient and Sustainable Crop Production
3. Adaptive AI for Dynamic Cybersecurity Systems
4. Applications of Internet of Things for smart farming – A survey
5. A Review of Data-Driven Smart Farming: Focusing on Resource Efficiency.;JChen;Sensors (Basel),2020