Description
Satish Serial Publishing House Technological Advancement and Use of Artificial Intelligence in Climate Smart Agriculture by Mukherjee Anirban Rohan Kumar Raman Dhiraj Kumar Singh Rakesh Kumar Kumari Shubha Ujjwal Kumar & Abhay Kumar
Agriculture contributes significantly to the Indian both in terms of employment and GDP economy. Agriculture automation is a major problem and a rising topic all over the world. The population is rapidly growing, and with it, the demand for food and work. Climate change is the most significant, but also the most difficult, global issue that has yet to be solved holistically. It is no less a challenge to the agricultural sector also. While smart farming is coming to optimise agricultural products, farmers must contend with unpredictable weather patterns, shorter growing seasons, droughts, and high temperatures. Here, the notion of Climate Smart Agriculture might help farmers anticipate such eventualities and prepare themselves to not just survive but prosper by conserving or even boosting agricultural productivity. Agriculture has undergone a transformation as a result of artificial intelligence. This technique has safeguarded crop yields from a variety of conditions including climate change, population increase, job troubles, and food security concerns. Data-driven procedures powered by AI and machine learning in conjunction with big data technologies and highperformance computing can aid in increasing productivity and output, preserving ecosystems, strengthening adaptation to climate change, dealing with extreme weather, such as drought, flood, and other calamities, and gradually improving land and soil quality. AI-based technologies are already influencing agricultural practises in India. Some Indian farmers with a large amount of cultivable land are now leaning toward smart farming, which uses AI-enabled sophisticated technologies, such as autonomous tractors equipped with GPS and various other sensors, such as digital cameras to plant crops, apply fertilisers, spray pesticides, manage weeds, determine the need for irrigation, predict yield, and so on in more efficient ways than ever before. In this book, a total of thirteen chapters about climate smart agriculture, developmental programmers and application of Artificial Intelligence have been incorporated across the agriculture, animal husbandry and fisheries sector. The content of this book deals with strategies and impact of climate smart agricultural practices, current application of Artificial Intelligence and Machine Learning has also been deal with. This book will definitely help academician, researchers and student in better understanding of climate change related issues, adaptation and mitigation strategies and use of artificial intelligence