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This book reviews recent innovations in the smart agriculture space that use the Internet of Things (IoT) and sensing to deliver Artificial Intelligence (AI) solutionsto agricultural productivity in the agricultural production hubs. In this regard, South and Southeast Asia are one of the major agricultural hubs of the world, facing challenges of climate change and feeding the fast-growing population. To addresssuch challenges, a transboundary approach along with AI and BIG data for bioinformatics are required to increase yield and minimize pre- and post-harvest losses in intangible climates to drive the sustainable development goal (SDG) for feeding a major part of the 9 billion population by 2050 (Society 5.0 SDG 1 & 2). Therefore, this book focuses on the solution through smart IoT and AI-based agriculture including pest infestation and minimizing agricultural inputs for in-house and fields production such as light, water, fertilizer and pesticides to ensure food security aligns with environmental sustainability. It provides a sound understanding for creating new knowledge in line with comprehensive research and education orientation on how the deployment of tiny sensors, AI/Machine Learning (ML), controlled UAVs, and IoT setups for sensing, tracking, collection, processing, and storing information over cloud platforms for nurturing and driving the pace of smart agriculture in this current time. The book will appeal to several audiences and the contents are designed for researchers, graduates, and undergraduate students working in any area of machine learning, deep learning in agricultural engineering, smart agriculture, and environmental science disciplines. Utmost care has been taken to present a varied range of resource areas along with immense insights into the impact and scope of IoT, AI and ML in the growth of intelligent digital farming and smart agriculture which will give comprehensive information to the targeted readers. .

Agriculture. --- Machine learning. --- Sustainability. --- Machine Learning. --- Sustainability science --- Human ecology --- Social ecology --- Learning, Machine --- Artificial intelligence --- Machine theory --- Farming --- Husbandry --- Industrial arts --- Life sciences --- Food supply --- Land use, Rural --- Agricultural innovations. --- Internet of things --- Agricultural applications. --- Industrial applications. --- IoT (Computer networks) --- Things, Internet of --- Computer networks --- Embedded Internet devices --- Machine-to-machine communications --- Agriculture --- Innovations, Agricultural --- Technological change in agriculture --- Technological innovations --- Data processing --- Innovations --- Technology transfer

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This book focuses solely on the issues of agriculture and forest productivity analysis with advanced modeling approaches to bring solutions to food-insecure regions of South and Southeast Asia. Advanced modeling tools and their use in regional planning provide an outstanding opportunity to contribute toward food production and environments. In this book, leading-edge research methodologies related to remote sensing and geospatial variability of soil, water, and regional agricultural production indicators and their applications are introduced together-a unique feature of the book is the domain of regional policy perspectives and allied fields. In regional policy planning, agriculture and forestry have a key role in food security and environmental conservation that depends on the geo-spatial variability of these factors. Over the years, nature and climate have determined the variability of soil type, soil quality, geographical deviation for habitat, water quality, water sources, urban influences, population growth, carbon stock levels, and water resources with rain-fed or irrigated land use practices. In addition, human nutritional values and dietary habits have brought cultural adaptation of either mono- or multi-cropping patterns in the region. To encompass all these above mentioned factors and classify regional variability for policy planning, satellite remote sensing and geographical information systems have the immense potential to increase agricultural and forest productivity to ensure the resilience of its sustainability. Therefore, the 13 chapters presented in this book introduce modeling techniques using the signatures of vegetation and water indices, land use and land change dynamics, climatic, and socioeconomic criteria through spatial, temporal, and statistical analysis. As well, remote sensing and in-depth GIS analysis are integrated with machine and deep learning algorithms to address natural uncertainties such as flash floods, droughts, and cyclones in agricultural production management.

Economics --- Environmental protection. Environmental technology --- Agronomy --- Agriculture. Animal husbandry. Hunting. Fishery --- economie --- landbouw --- landbouwbeleid --- milieuzorg

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This book focuses solely on the issues of agricultural productivity analysis with advanced modeling approaches bringing solutions to food-insecure regions of the world, especially in south and southeast Asia and in Africa. Advanced modeling tools and their use in regional planning provide an outstanding opportunity to help face the challenges of climate change. The sudden effect of flash floods, drought, salinity, and sea water rises causing saltwater intrusions and its impact on agricultural production are some of the disastrous results of climate change. In this edited volume, information on climate-induced impacts for flooding, flash floods, and drought impact on agricultural crops is provided to address possible solutions for food security in south Asia, southeast Asia, and some regions of Africa. Leading-edge research methodology is presented as it relates to remote sensing applications for regional science and allied fields. In regional policy planning, agriculture and forestry play key roles in food security along with environmental conservation and depend on geo-spatial variability. Satellite remote sensing and geographical information systems have an immense potential to encompass all these factors and to catalogue the regional variability of climate change and climate economics. In the satellite remote sensing domain, advanced modeling tools, deep learning applications, and cloud-based earth engines significantly increase the flexibility of decision making and its application for regional perspectives. The result can increase agricultural and forest productivity and ensure its resilience and sustainability. The book’s chapters introduce modeling techniques such as machine learning and fuzzy expert system using satellite remote sensing datasets based on cloud application. These methods assist regional planners to increase crop production, land use, and detection of changes in land cover in order to better understand their vulnerability to climate-related disaster. Furthermore, remote sensing and in-depth GIS analysis are integrated with machine learning to address natural uncertainties such as flash floods, droughts, and cyclones so that emergency responses for agricultural production management can be adopted more effectively.

Regional economics. --- Spatial economics. --- Bioclimatology. --- Agriculture. --- Power resources. --- Environmental economics. --- Agriculture --- Regional and Spatial Economics. --- Climate Change Ecology. --- Resource and Environmental Economics. --- Agricultural Economics. --- Environmental Economics. --- Economic aspects.

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Agriculture --- Forests and forestry --- Mathematical models. --- Remote sensing. --- Farming --- Husbandry --- Industrial arts --- Life sciences --- Food supply --- Land use, Rural --- Forest land --- Forest lands --- Forest planting --- Forest production --- Forest sciences --- Forestation --- Forested lands --- Forestland --- Forestlands --- Forestry --- Forestry industry --- Forestry sciences --- Land, Forest --- Lands, Forest --- Silviculture --- Sylviculture --- Woodlands --- Woods (Forests) --- Natural resources --- Afforestation --- Arboriculture --- Logging --- Timber --- Tree crops --- Trees

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This book has the ambition of presenting sustainability issues in a simple way to students in the field of agriculture and the environment. There is much diversity in the viewpoints on the meaning of sustainability. Sustainability must be made operational in each specific context and scaled, and appropriate methods must be designed to achieve long-term goals for the environment, agriculture, energy and food security. The ultimate goal of the environment and agriculture is protecting soil and water to ensure food security for the growing population. This book discusses the integration of views

Sustainable development. --- Sustainable agriculture. --- Renewable energy sources. --- Food security. --- Alternate energy sources --- Alternative energy sources --- Energy sources, Renewable --- Sustainable energy sources --- Power resources --- Renewable natural resources --- Agriculture and energy --- Low-input agriculture --- Low-input sustainable agriculture --- Lower input agriculture --- Resource-efficient agriculture --- Sustainable farming --- Agriculture --- Alternative agriculture --- Development, Sustainable --- Ecologically sustainable development --- Economic development, Sustainable --- Economic sustainability --- ESD (Ecologically sustainable development) --- Smart growth --- Sustainable development --- Sustainable economic development --- Economic development --- Food deserts --- Food insecurity --- Insecurity, Food --- Security, Food --- Human security --- Food supply --- Environmental aspects --- Sustainable agriculture --- Renewable energy sources --- Food security --- E-books