Download or read book Soft Computing and Optimization Techniques for Sustainable Agriculture written by Debesh Mishra and published by Walter de Gruyter GmbH & Co KG. This book was released on 2022-07-18 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the emerging applications of different computational and optimization techniques in order to achieve a sustainable agriculture. A sustainable agricultural management requires tools in providing integrated, area-specifi c, and interpreted prediction or forecasting and guidance in every aspect in agriculture.
Download or read book AI in Agriculture for Sustainable and Economic Management written by Sirisha Potluri and published by CRC Press. This book was released on 2024-08-01 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains the best practices and their respective outcomes in artificial intelligence (AI) to meet sustainable development goals and demands. It examines the practices, technologies, and innovations at the core of various research issues to meet the sustainable development demands in agriculture to balance social, economic, and environmental sustainability with AI. AI in Agriculture for Sustainable and Economic Management discusses AI-driven nanotechnology approaches for precision agriculture and solutions for the optimization of farming resources and their management. The authors examine the impact of AI in agriculture and how technology-driven sustainable farming with smart waste-water treatment for zero waste for the circular economy can extend crop shelf-life. It discusses how AI expertise can be advantageous to envisage and evaluate the increasing demands of productivity, and to help to maintain ecosystems and strengthen the capacity for crop adaptation in response to drastic changes in climate and weather, natural disasters, and other significant factors. These findings and practices are also useful to emphasize how an agricultural ecosystem can be advanced and industrialized so that it can aid not only large commercial farms but also smaller farmlands. Finally, it also discusses how AI practices will help to find a balance between the volume of food manufactured and the proper maintenance of the ecosystem. This book is intended for researchers and upper graduate students interested in artificial intelligence in agricultural engineering, AI advances in crop science and technology for sustainable development.
Download or read book Optimization Under Uncertainty in Sustainable Agriculture and Agrifood Industry written by Víctor M. Albornoz and published by Springer Nature. This book was released on with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Precision Agriculture for Sustainability written by Narendra Khatri and published by CRC Press. This book was released on 2024-02-13 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new book delves into how modern technologies—i.e., global positioning systems (GPS), unmanned aerial vehicles (drones), image processing methods, artificial intelligence, machine learning, and deep learning—are being used to make agriculture more farmer-friendly and more economically profitable. The volume focuses on the use of smart sensors, actuators, and decision support systems to provide intelligent data about crop health and for monitoring for yield prediction, soil quality, nutrition requirement prediction, etc. The authors discuss robotic-based innovations in agriculture, soft computing methodologies for crop forecasting, machine learning techniques to classify and identify plant diseases, deep convolutional neural networks for recognizing nutrient deficiencies, and more.
Download or read book Sustainable Agriculture Systems and Technologies written by Pavan Kumar and published by John Wiley & Sons. This book was released on 2022-03-14 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sustainable Agriculture Systems and Technologies A robust treatment of traditional and new techniques in sustainable agriculture In Sustainable Agriculture Systems and Technologies, a team of distinguished researchers delivers an up-to-date and comprehensive exploration of sustainable agriculture and its relationship to the drivers of climate change. Along with robust examinations of food security and the agrarian livelihood, the book covers the impact of climate change and variability on agriculture, water management in agricultural systems, and precision agriculture. This book represents a significant contribution to the scientific understanding of the application of technologies that address food insecurity and climate change through sustainable productivity, system diversification, irrigation practices, crop modeling, data analytics, and agricultural policy. It also explores the risks and benefits of different agricultural systems under changing climate scenarios. The book also offers: A thorough introduction to agriculture and food security, including the diversification of ecosystems and the impact of Covid-19 lockdowns on food security and smallholder agricultural systems Comprehensive explorations of crop diversification and the impacts of climate variability on food security in Indonesia Practical discussions of water conservation agriculture and the quality of irrigation water for sustainable agriculture development in India In-depth examinations of geoinformatics, artificial intelligence, sensor technology, and big data Perfect for academics, scientists, environmentalists, and environmental consultants, Sustainable Agriculture Systems and Technologies will also earn a place in the libraries of computing experts working in the field of agricultural science.
Download or read book Advanced Computational Methods for Agri Business Sustainability written by Satapathy, Suchismita and published by IGI Global. This book was released on 2024-07-10 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Globalization has transformed agri-food markets, creating a single global market with reduced trade barriers. In theory, this should bring increased food security, yet challenges persist. Small farmers often need help integrating into global sourcing networks and meeting stringent food safety regulations. Additionally, there is increasing pressure on businesses and governments to address the environmental and resource consequences of agri-food production. Advanced Computational Methods for Agri-Business Sustainability offers a comprehensive analysis of agricultural sector challenges and provides practical solutions. It identifies potential issues in agri-food management and supply chains, offers mitigation strategies, and highlights opportunities for sustainable development. The book aims to bridge the gap between theory and practice, providing insights for academics, policymakers, and industry professionals.
Download or read book Vertical Farming An Innovative Solution for Sustaining Agriculture written by Jimmy Harrison and published by Jimmy Harrison . This book was released on with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: 📚 Introducing the groundbreaking ebook, "Vertical Farming: Revolutionizing Agriculture for a Sustainable Future" by Jimmy Harrison! Prepare to embark on a profound journey that will forever change the way you perceive agriculture and its impact on our planet. 🌍 🌱 Jimmy Harrison, an esteemed expert in sustainable farming, presents a meticulously researched and thought-provoking exploration of the vertical farming revolution. Dive deep into the realm of innovation as Harrison reveals how this cutting-edge technique is reshaping the future of agriculture. 🌿 🚀 Witness the astonishing potential of vertical farming as Harrison unravels its numerous benefits. Learn how vertical farms maximize land use efficiency, conserve water resources, reduce carbon emissions, and eliminate harmful pesticides. Discover how this sustainable approach to cultivation holds the key to feeding our growing global population while mitigating environmental degradation. 🌾 💡 Gain valuable insights from Harrison's in-depth analysis of vertical farming techniques, including hydroponics and aeroponics. Uncover the myriad of crops that thrive within controlled indoor environments, ensuring consistent yields irrespective of seasonal limitations. Explore the fascinating integration of advanced technologies, such as AI and IoT, in optimizing production and resource management. 💡 📚 In "Vertical Farming: Revolutionizing Agriculture for a Sustainable Future," Harrison presents a comprehensive blueprint for transforming agriculture into an eco-friendly enterprise. From urban farming initiatives to commercial-scale operations, Harrison delves into the practical implementation and financial viability of vertical farming. 🌿 🌍 Join the movement towards a sustainable future by embracing the transformational power of vertical farming. Empower yourself with the knowledge and inspiration needed to make a positive impact on our planet while enjoying the bountiful harvests of innovation. 🌱 🏃♂️ Don't miss this opportunity to be at the forefront of the agricultural revolution! Act now and secure your copy of "Vertical Farming: Revolutionizing Agriculture for a Sustainable Future" by Jimmy Harrison. Together, let's cultivate a brighter and greener tomorrow! 🌿
Download or read book Information and Communication Technologies for Agriculture Theme IV Actions written by Dionysis D. Bochtis and published by Springer Nature. This book was released on 2022-03-07 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is the last (IV) of four under the main themes of Digitizing Agriculture and Information and Communication Technologies (ICT). The four volumes cover rapidly developing processes including Sensors (I), Data (II), Decision (III), and Actions (IV). Volumes are related to ‘digital transformation” within agricultural production and provision systems, and in the context of Smart Farming Technology and Knowledge-based Agriculture. Content spans broadly from data mining and visualization to big data analytics and decision making, alongside with the sustainability aspects stemming from the digital transformation of farming. The four volumes comprise the outcome of the 12th EFITA Congress, also incorporating chapters that originated from select presentations of the Congress. The focus in this volume is on the directions of Agriculture 4.0 which incorporates the transition to a new era of action in the Agricultural sector, represented by the evolution of digital technologies in 4 aspects: Big Data, Open Data, Internet of Things (IoT), and Cloud Computing. Under the heading of “Action,” 14 Chapters investigate the implementation of cutting-edge technologies on real world applications. It will become apparent to the reader that the penetration of ICT in agriculture can result in several benefits related to the sustainability of the sector and to yield the maximum benefits, successful management is required. The entire discussion highlights the importance of proper education in the adoption of innovative technologies starting with the adaption of educational systems to the new era and moving to the familiarization of farmers to the new technologies. This book covers topics that relate to the digital transformation of farming. It provides examples and case studies of this transformation from around the world, examines the process of diffusion of digital technologies, and assesses the current and future sustainability aspects of digital agriculture. More specifically, it deals with issues such as: Challenges and opportunities from the transition to Agriculture 4.0 Safety and health in agricultural work automation The role of digital farming on regional-spatial planning The enrollment of Social Media in IoT-based agriculture The role of education in digital agriculture Real-life implementation cases of smart agriculture around the world
Download or read book Deep Learning for Sustainable Agriculture written by Ramesh Chandra Poonia and published by Academic Press. This book was released on 2022-01-09 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: The evolution of deep learning models, combined with with advances in the Internet of Things and sensor technology, has gained more importance for weather forecasting, plant disease detection, underground water detection, soil quality, crop condition monitoring, and many other issues in the field of agriculture. agriculture. Deep Learning for Sustainable Agriculture discusses topics such as the impactful role of deep learning during the analysis of sustainable agriculture data and how deep learning can help farmers make better decisions. It also considers the latest deep learning techniques for effective agriculture data management, as well as the standards established by international organizations in related fields. The book provides advanced students and professionals in agricultural science and engineering, geography, and geospatial technology science with an in-depth explanation of the relationship between agricultural inference and the decision-support amenities offered by an advanced mathematical evolutionary algorithm. Introduces new deep learning models developed to address sustainable solutions for issues related to agriculture Provides reviews on the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of sustainable agriculture Illustrates through case studies how deep learning has been used to address a variety of agricultural diseases that are currently on the cutting edge Delivers an accessible explanation of artificial intelligence algorithms, making it easier for the reader to implement or use them in their own agricultural domain
Download or read book Soft Computing for Sustainability Science written by Carlos Cruz Corona and published by Springer. This book was released on 2017-07-12 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a timely snapshot of soft computing methodologies and their applications to various problems related to sustainability, including electric energy consumption; fault diagnosis; vessel fuel consumption; determining the best sites for new malls; maritime port projects; and ad-hoc vehicular networks. Further, it demonstrates how metaheuristics and machine learning methods, fuzzy linear programming, neural networks, computing with words, linguistic models and other soft computing methods can be efficiently used to solve real-world problems. Intended as a practice-oriented guide for students, researchers, and professionals working at the interface between computer science, industrial engineering, naval engineering, agriculture, and sustainable development / climate change research, it provides readers with a set of intelligent solutions, helping them answer a range of emerging questions related to sustainability.
Download or read book Transforming Agricultural Management for a Sustainable Future written by Shruti Kanga and published by Springer. This book was released on 2024-09-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Transforming Agricultural Management for a Sustainable Future: Climate Change and Machine Learning Perspectives" is an essential read for anyone interested in the future of agriculture and the role that technology can play in mitigating the impact of climate change. The book delves into the challenges facing agriculture today, such as climate change, soil degradation, and water scarcity. It then explores how machine learning can be used to overcome these challenges and promote sustainable agricultural practices. One of the key takeaways from the book is the importance of data-driven decision-making in agriculture. With the help of machine learning algorithms, farmers can analyze vast amounts of data, such as weather patterns, soil quality, and crop yields, to make informed decisions about planting, irrigation, and fertilizer use. By using this data, farmers can optimize their yields while minimizing their impact on the environment. Another important aspect of the book is its focus on climate change. Agriculture is one of the largest contributors to greenhouse gas emissions, and farmers are already feeling the impact of climate change through droughts, floods, and other extreme weather events. The book provides a comprehensive overview of the ways in which machine learning can be used to reduce the impact of agriculture on the environment, such as by optimizing irrigation and reducing fertilizer use. The book also explores the role of technology in promoting sustainable agriculture practices. For example, precision agriculture techniques, such as GPS-guided tractors and drones, can help farmers reduce waste and improve crop yields. The book provides examples of how these techniques are already being used in practice, and how they can be further developed to promote sustainability. Overall, "Transforming Agricultural Management for a Sustainable Future: Climate Change and Machine Learning Perspectives" is an insightful and informative read for anyone interested in the future of agriculture. The book provides a comprehensive overview of the challenges facing agriculture today and the ways in which technology can be used to overcome these challenges and promote sustainable practices. It is a must-read for farmers, policymakers, and anyone interested in the future of our planet.
Download or read book Applications of Image Processing and Soft Computing Systems in Agriculture written by Razmjooy, Navid and published by IGI Global. This book was released on 2019-02-22 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: The variety and abundance of qualitative characteristics of agricultural products have been the main reasons for the development of different types of non-destructive methods (NDTs). Quality control of these products is one of the most important tasks in manufacturing processes. The use of control and automation has become more widespread, and new approaches provide opportunities for production competition through new technologies. Applications of Image Processing and Soft Computing Systems in Agriculture examines applications of artificial intelligence in agriculture and the main uses of shape analysis on agricultural products such as relationships between form and genetics, adaptation, product characteristics, and product sorting. Additionally, it provides insights developed through computer vision techniques. Highlighting such topics as deep learning, agribusiness, and augmented reality, it is designed for academicians, researchers, agricultural practitioners, and industry professionals.
Download or read book Human Agro Energy Optimization for Business and Industry written by Vasant, Pandian and published by IGI Global. This book was released on 2023-01-23 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the current era, there are many environmental and energy challenges facing the agricultural sector, which negatively impact the climate, business, industry, and society. Through modern technologies and engineering, however, these challenges are now able to be met with solutions. There is a need for research in this area so that the industry can continue to be sustainable. Human Agro-Energy Optimization for Business and Industry presents research on humanized optimization approaches for smart energy and the agro-business industry. It is a critical scholarly resource that examines the efficient use of modern smart farming and renewable energy sources, which have a positive impact on sustainable development. Covering topics such as biomass characterization, energy efficiency, and sustainable development, this premier reference source is an essential resource for agricultural scientists, engineers, government officials, software developers, managers, business leaders, executive officers, students and educators of higher education, librarians, researchers, and academicians.
Download or read book Advances in Soft Computing written by Ildar Batyrshin and published by Springer. This book was released on 2019-01-02 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 11288 and 11289 constitutes the proceedings of the 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, held in Guadalajara, Mexico, in October 2018. The total of 62 papers presented in these two volumes was carefully reviewed and selected from 149 submissions. The contributions are organized in topical as follows: Part I: evolutionary and nature-inspired intelligence; machine learning; fuzzy logic and uncertainty management. Part II: knowledge representation, reasoning, and optimization; natural language processing; and robotics and computer vision.
Download or read book Evolutionary Algorithms and Agricultural Systems written by David G. Mayer and published by Springer. This book was released on 2001-11-30 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary Algorithms and Agricultural Systems deals with the practical application of evolutionary algorithms to the study and management of agricultural systems. The rationale of systems research methodology is introduced, and examples listed of real-world applications. It is the integration of these agricultural systems models with optimization techniques, primarily genetic algorithms, which forms the focus of this book. The advantages are outlined, with examples of agricultural models ranging from national and industry-wide studies down to the within-farm scale. The potential problems of this approach are also discussed, along with practical methods of resolving these problems. Agricultural applications using alternate optimization techniques (gradient and direct-search methods, simulated annealing and quenching, and the tabu search strategy) are also listed and discussed. The particular problems and methodologies of these algorithms, including advantageous features that may benefit a hybrid approach or be usefully incorporated into evolutionary algorithms, are outlined. From consideration of this and the published examples, it is concluded that evolutionary algorithms are the superior method for the practical optimization of models of agricultural and natural systems. General recommendations on robust options and parameter settings for evolutionary algorithms are given for use in future studies. Evolutionary Algorithms and Agricultural Systems will prove useful to practitioners and researchers applying these methods to the optimization of agricultural or natural systems, and would also be suited as a text for systems management, applied modeling, or operations research.
Download or read book Advanced Agro Engineering Technologies for Rural Business Development written by Valeriy Kharchenko and published by Engineering Science Reference. This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book explores a series of technological methods and a number of technical means that ensure the organization of production of various products in the territories newly allocated for economic activity. The specified technologies and technical means are adapted to applications in the production of small scale and the enterprises of small and medium business"--
