Advanced Technologies and AI-Enabled IoT Applications in High-Tech Agriculture
Tarun Kumar Vashishth, Vikas Sharma, Sachin Chaudhary, Rajneesh Panwar, Shashank Sharma, Prashant Kumar
Abstract
This chapter will explore the various advanced technologies and AI-enabled IoT applications that are being used in high-tech agriculture today. The authors examine how these technologies are being used to improve soil health, manage pests and diseases, monitor crop growth, and optimize irrigation systems. The chapter will also examine the impact of these technologies on the environment and the economic implications of their adoption. They analyze case studies of farms that have successfully implemented these technologies, and the impact they have had on their productivity and profitability. The proposed approach focuses on integrating IoT-enabled sensors and devices into agricultural practices to collect data on crop growth, soil moisture, weather conditions, and other relevant factors. This data is then analysed using machine learning algorithms to provide insights and recommendations for farmers to optimize crop yields, reduce water usage, and minimize the use of harmful chemicals.