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The cultivation of crops plays a very important role in agriculture. However, proper maintenance and management are required. Lack of such management would lead to crop loss or reduced crop yields. Hence, the ability to detect and identify diseases on infected crops is a problem of increasing concern. Real-time disease detection systems do not exist in the current agricultural landscape. It requires tremendous amounts of work, expertise in plant diseases, and excessive processing time. Using precision agriculture techniques, combined with AI, a great deal of work is reduced. Contemporary Developments in Agricultural Cyber-Physical Systems provides a forum for researchers and practitioners to exchange ideas and achieve progress in cyber-physical systems by highlighting agricultural applications, advances, and research challenges. The book features chapters on all aspects pertaining to this multidisciplinary paradigm, in particular in its application to sustainable agriculture developments. Covering topics such as automation, monitoring systems, and smart agriculture, this premier reference source is an excellent resource for scientists, healthcare professionals, data analysts, computer scientists, students and educators of higher education, researchers, and academicians.
This book introduces state-of-the-art approaches, methods and research, focusing on smart management of rainwater. In addition, it provides an overview of projects from across the world, illustrating how rainwater-smart management has been implemented in drylands. Focusing on the scientific perspective it demonstrates how rural dryland agriculture can be improved. It also documents the wealth of rainwater-smart know-how available today, and replicates and transfers results to other countries and regions, to encourage cross-sector interactions among various stakeholders, such as practitioners from governmental and public organisations, policy- and decision-makers, and teaching staff from academic scientific institutions. The contributors showcase vital lessons learned from research, field projects and best-practice examples. They address the integrated use of rainwater harvesting management with landscape restoration practices and water-, and climate-smart agriculture for food security and poverty alleviation in arid and semi-arid areas. Original research, combined with the contributors’ synthetic approach, lays a foundation for new concepts and ideas. Through case studies and research reports, the book discusses all the relevant issues necessary for the comprehensive analysis and successful implementation of the technologies in rainwater management. Highlighting the working principles and technical recommendations with regard to cost-efficient rainwater-smart solutions, it is of interest to practitioners. It is also a valuable resource for academic specialists, professionals and students, since many development agencies are funding rainwater harvesting for irrigation purposes.
Microirrigation has become the fastest growing segment of the irrigation industry worldwide and has the potential to increase the quality of food supply through improved water fertilizer efficiency. This book is meant to update the text "Trickle Irrigation, Design, Operation and Management". This text offers the most current understanding of the management criteria needed to obtain maximum water and fertilization efficiency.* Presents a detailed explanation of system design, operation, and management specific to various types of MI systems* Analyzes proper use of irrigation technology and its effect to increase efficiency* Provides an understanding to the basic science needed to comprehend operation and management* Over 150 figures of designs and charts of systems including, surface drip, subsurface drip, spray/microsprinkler, and more
Continued population growth, rapidly changing consumption patterns and the impacts of climate change and environmental degradation are driving limited resources of food, energy, water and materials towards critical thresholds worldwide. These pressures are likely to be substantial across Africa, where countries will have to find innovative ways to boost crop and livestock production to avoid becoming more reliant on imports and food aid. Sustainable agricultural intensification - producing more output from the same area of land while reducing the negative environmental impacts - represents a solution for millions of African farmers. This volume presents the lessons learned from 40 sustainable agricultural intensification programmes in 20 countries across Africa, commissioned as part of the UK Government's Foresight project. Through detailed case studies, the authors of each chapter examine how to develop productive and sustainable agricultural systems and how to scale up these systems to reach many more millions of people in the future. Themes covered include crop improvements, agroforestry and soil conservation, conservation agriculture, integrated pest management, horticulture, livestock and fodder crops, aquaculture, and novel policies and partnerships.
This book describes trends in resources used in and affected by agricultural production (including natural, produced, and management resources), as well as the economic conditions and policies that influence agricultural resource use and its environmental impacts. Each chapter provides a concise overview of a specific topic with links to sources of additional information.
Evolution of the Alabama Agroecosystem describes aspects of food and fiber production from prehistoric to modern times. Using information and perspectives from both the "hard" sciences (geology, biology) and the "soft" science (sociology, history, economics, politics), it traces agriculture's evolution from its appearance in the Old World to its establishment in the New World. It discusses how agricultural practices originating in Europe, Asia and Africa determined the path agriculture followed as it developed in the Americas. The book focuses on changes in US and Alabama agriculture since the early nineteenth century and the effects that increased government involvement have had on the country's agricultural development. Material presented explains why agriculture in Alabama and much of the South remains only marginally competitive compared to many other states, the role that limited agricultural competitiveness played in the slower rate of economic development in the South in general, and how those limiting factors ensure that agricultural development in Alabama and the South will continue to keep up but never catch up.
This edited book, Smart Agriculture: An Approach towards Better Agriculture Management aims to present utilization of advanced technologies towards the better management of Agriculture requirements. The book is triggered by ubiquitous applications of sensors and actuators, and the real-world challenges and complexities to the Wireless Sensors and Actuator Networks¿ (WSAN) application. Agriculture is a very vast domain. This book is providing coverage of some of the aspects of the agriculture like Introduction to the concept of Smart Agriculture, Automatic Irrigation Management, Water Management, use of advanced technology like GIS towards Agriculture and Agricultural Ontologies to provide semantic understanding for computing devices.
The rural poor, who are the most vulnerable, are likely to be disproportionately affected.
Agricultural Internet of Things and Decision Support for Smart Farming reveals how a set of key enabling technologies (KET) related to agronomic management, remote and proximal sensing, data mining, decision-making and automation can be efficiently integrated in one system. Chapters cover how KETs enable real-time monitoring of soil conditions, determine real-time, site-specific requirements of crop systems, help develop a decision support system (DSS) aimed at maximizing the efficient use of resources, and provide planning for agronomic inputs differentiated in time and space. This book is ideal for researchers, academics, post-graduate students and practitioners who want to embrace new agricultural technologies. - Presents the science behind smart technologies for agricultural management - Reveals the power of data science and how to extract meaningful insights from big data on what is most suitable based on individual time and space - Proves how advanced technologies used in agriculture practices can become site-specific, locally adaptive, operationally feasible and economically affordable