Agriculture 5.0 - Artificial Intelligence, IoT and Machine Learning - Grand Format

Agriculture 5.0 : Artificial Intelligence, IoT ; and Machine Learning provides an interdisciplinary and integrative overview of the latest development in the domain of smart farming. Essentially, it shows how traditional farming practices are enhanced and modified through automation and the introduction of modem scalable technological solutions that mize risks, enhance sustainability, and deliver predictive decisions to the grower in order to make agriculture more productive.
An elaborative approach is used to highlight the application and adoption of key technologies and techniques such WSN, loT, Al, and ML in agronomic activities ranging from the collection of information, analyzing, and drawing meaning-ful insights from data that is m urate, timely, and reliable. This book synthesizes interdisciplinary theory, concepts, definitions, models, and findings involved in complex global sustainability problem-solving, making it an essential guide and reference.
It includes real-world examples and functions, thus, allowing access to a broader interdisciplinary readership. Furthermore, Agriculture 5.0 clarifies how the birth of smart and intelligent agriculture is nurtured and driven by the deployment of tiny sensors, Al/ML-enabled UAVs, or low-powered Internet of Things setups for sensing, monitoring, collection, processing, and storing of information in cloud platforms.
This book is ideal for researchers, academics, post-graduate students, and practitioners of agricultural universities who aim to utilize new agricultural technologies for determining site-specific crop requirements and future farming strategies related to the control and management of chemical sprays, yield, price assessments with the help of AIJML-driven intelligent decision support systems, and the use of agri-robots for sowing and harvesting.
The bock will cover and explore the applications and certain case studies of each technology that have made significant impact as grand successes.The main objective of the book is to provide readers with extensive insights into the impact and scope of WSN, loT, AI, and ML in the growth of intelligent digital farming and Agriculture Revolution 5.0. Finally, the book also focuses on the feasibility of precision farming as well as the problems encountered during the adoption of precision farming techniques, its potential in India, and various policy measures accomplished all aver the world.The reader can find a description of different decision support tools, such as crop simulation models, their categories, and applications in PA.
Features : Detailed description of the latest tools and technologies available for Agriculture 5.0 ; Elaborative information for different types of hardware, platforms, and machine learning techniques used in smart farming ; Various types of predictive modeling techniques available for intelligent and accurate agricultural decision-making based on real-time collected information for site-specific precision farming ; Comprehensive data about different kinds of global regulations and policies made to motivate farmers and innovators to invest and adopt AI- and ML-enabled tools and farming systems for sustainable production.