The book is a practical manual which has been created to support the syllabus of agro-meteorology courses specifically designed for graduate and post-graduate students. The topics covered in the manual include working with meteorological instruments for measurement of various meteorological parameters like temperature, humidity, sunshine hours, precipitation, etc. Separate chapters have been included for computation of growing degree days, agro-climatic zones, crop modelling and agro-advisory services. The book will have great appeal to students of agriculture, horticulture, and forestry.

The monograph focuses on agricultural meteorology and climate change and its impacts on different crops. Comprising of chapters from experts, the book discusses and provides first-hand information to the long term shifts in weather patterns and temperature impacting soil, water and crops. Each chapter focuses in detail on the impact of plant- water – soil nexus and climate change on agriculture and food security. Covering the basic concepts about the temperature, pressure and humidity correlation with the increased demands of food, the book explores in detail the impact of adverse climatic conditions like drought, floods, increasing levels of carbon dioxide emissions and other simultaneous effects like soil fertility depletion on the cropping systems and overall crop productivity. The book touches the challenges of climate change, adaptive methods, mitigation strategies, with careful explanation of governance, plans and policies required to provide guidelines to stake holders so they can best prepare for the negative climate change impacts. While touching the agricultural challenges faced globally due to climate change, the book serves as a reference book for students, researchers and policy makers, involved in horticulture, agriculture and environmental sciences and climate change.

Agriculture 5.0: Artificial Intelligence, IoT & Machine Learning provides an interdisciplinary, integrative overview of latest development in the domain of smart farming. It shows how the traditional farming practices are being enhanced and modified by automation and introduction of modern scalable technological solutions that cut down on risks, enhance sustainability, and deliver predictive decisions to the grower, in order to make agriculture more productive. An elaborative approach has been used to highlight the applicability and adoption of key technologies and techniques such WSN, IoT, AI and ML in agronomic activities ranging from collection of information, analysing and drawing meaningful insights from the information which is more accurate, timely and reliable.It 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 applications making the book accessible to a broader interdisciplinary readership. This book clarifies hoe the birth of smart and intelligent agriculture is being nurtured and driven by the deployment of tiny sensors or AI/ML enabled UAV's or low powered Internet of Things setups for the sensing, monitoring, collection, processing and storing of the information over the cloud platforms. This book is ideal for researchers, academics, post-graduate students and practitioners of agricultural universities, who want to embrace new agricultural technologies for Determination of site-specific crop requirements, future farming strategies related to controlling of chemical sprays, yield, price assessments with the help of AI/ML driven intelligent decision support systems and use of agri-robots for sowing and harvesting. The book will be covering and exploring the applications and some case studies of each technology, that have heavily made impact as grand successes. The main aim of the book is to give the readers immense insights into the impact and scope of WSN, IoT, AI and ML in the growth of intelligent digital farming and Agriculture revolution 5.0.The book also focuses on feasibility of precision farming and the problems faced during adoption of precision farming techniques, its potential in India and various policy measures taken all over the world. The reader can find a description of different decision support tools like crop simulation models, their types, and application in PA. Features: Detailed description of the latest tools and technologies available for the Agriculture 5.0. Elaborative information for different type of hardware, platforms and machine learning techniques for use in smart farming. Elucidates various types of predictive modeling techniques available for intelligent and accurate agricultural decision making from real time collected information for site specific precision farming. Information about different type of regulations and policies made by all over the world for the motivation farmers and innovators to invest and adopt the AI and ML enabled tools and farming systems for sustainable production.