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Prosopis (Prosopis juliflora) is a xerophyte which, in its native habitats has been a desert plant. As long as it was confined to that habitat, P. juliflora was a great resource, improving the region's micrometeorology, binding its sandy soil, and providing shelter, fuel, feed, food, medicines, and cosmetics to the people of such regions. In particular, for the economically weaker inhabitants, P.juliflora was a lifeline.But when P. juliflora was indiscriminately introduced in other regions of the world in a hope to derive similar benefits from it, things began to go awry. Indeed, among the invasive species of plants which are spreading at an alarming rate in the tropical and sub-tropical reg...
Application of Machine Learning in Smart Agriculture is the first book to present a multidisciplinary look at how technology can not only improve agricultural output, but the economic efficiency of that output as well. Through a global lens, the book approaches the subject from a technical perspective, providing important knowledge and insights for effective and efficient implementation and utilization of machine learning. As artificial intelligence techniques are being used to increase yield through optimal planting, fertilizing, irrigation, and harvesting, these are only part of the complex picture which must also take into account the economic investment and its optimized return. The perf...
This review of recent developments in our understanding of the role of microbes in sustainable agriculture and biotechnology covers a research area with enormous untapped potential. Chemical fertilizers, pesticides, herbicides and other agricultural inputs derived from fossil fuels have increased agricultural production, yet growing awareness and concern over their adverse effects on soil productivity and environmental quality cannot be ignored. The high cost of these products, the difficulties of meeting demand for them, and their harmful environmental legacy have encouraged scientists to develop alternative strategies to raise productivity, with microbes playing a central role in these eff...
This book has been mainly written for the research workers and students of various Universities, who are interested to use eco-friendly indigenous plant materials in pest management programme. The book provides a brief amount on different plants having pesticidal properties viz., plant taxonomy, geographical distribution, chemical constitutions and their structural formula, their mode of action, procedure for preparation and their safety to non target organisms. It is hoped that this book will be very useful to graduate/post graduate students of Agriculture as well as Basic science, researchers and extension workers. This book will be useful to environme- ntalists who are interested to minimize the use of synthetic chemicals in pest manag- ement programme and also for the pesticide formulation industries to develop newer molecules based on phytochemicals. Every attempt has been made to provide necessary information for students and researchers, which is hardly available in other books.
This book presents the proceedings of the 10th Conference on Theory and Applications of Soft Computing, Computing with Words and Perceptions, ICSCCW 2019, held in Prague, Czech Republic, on August 27–28, 2019. It includes contributions from diverse areas of soft computing and computing with words, such as uncertain computation, decision-making under imperfect information, neuro-fuzzy approaches, deep learning, natural language processing, and others. The topics of the papers include theory and applications of soft computing, information granulation, computing with words, computing with perceptions, image processing with soft computing, probabilistic reasoning, intelligent control, machine ...