Sarkar Ak O P Chaudary And V K Kharche Soil Science An Introduction Indian Society Of Soil Science 2015
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Soil Genesis and Classification
Morphology of soils; Soil micromorphology; Soil composition and characterization; Weathering and soil formation; Pedogenic processes: internal, soil-building processes; Soil environment: External factors of soil formation; Parent material: initial material of the solum; Relief and landscape factors of the soil and its environment; Contributions of climate to the total soil environment; Organisms: biological portion of the soil and its environment; Time as a factor of soil formation; Principles and historical development of soil classification; Modern soil classification systems; Entisols:recently formed soils: Vertisols: shrinking and swelling dark clay soils; In ceptisols: emleryonic soils with few diagnostic features; Aridisols: soils of arid regions; Mollisols: grassland soils of steppes and prairies; Spodosols: soils with subsoil, accumulations of sesquioxide and humus; Alfisols:high base status soils; Ultisols: low base status forest soils: Oxisols: sesquioxide - rihch, highly weathered soils of the intertropical regions; Histosols: organic soils.
Soil Pollution - An Emerging Threat to Agriculture
The book provides reader with a comprehensive up-to-date overview of various aspects of soil pollutants manifestation of toxicity. The book highlights their interactions with soil constituents, their toxicity to agro-ecosystem & human health, methodologies of toxicity assessment along with remediation technologies for the polluted land by citing case studies. It gives special emphasis on scenario of soil pollution threats in developing countries and ways to counteract these in low cost ways which have so far been ignored. It also explicitly highlights the need for soil protection policy and identifies its key considerations after analyzing basic functions of soil and the types of threats perceived. This book will be a useful resource for graduate students and researchers in the field of environmental and agricultural sciences, as well as for personnel involved in environmental impact assessment and policy making.
Metaheuristics in Machine Learning: Theory and Applications
This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms. The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities.