Download or read book Automation The Future of Weed Control in Cropping Systems written by Stephen L. Young and published by Springer Science & Business Media. This book was released on 2013-11-21 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technology is rapidly advancing in all areas of society, including agriculture. In both conventional and organic systems, there is a need to apply technology beyond our current approach to improve the efficiency and economics of management. Weeds, in particular, have been part of cropping systems for centuries often being ranked as the number one production cost. Now, public demand for a sustainably grown product has created economic incentives for producers to improve their practices, yet the development of advanced weed control tools beyond biotech has lagged behind. An opportunity has been created for engineers and weed scientists to pool their knowledge and work together to ‘fill the gap’ in managing weeds in crops. Never before has there been such pressure to produce more with less in order to sustain our economies and environments. This book is the first to provide a radically new approach to weed management that could change cropping systems both now and in the future.

Download or read book Decision Support Systems for Weed Management written by Guillermo R. Chantre and published by Springer Nature. This book was released on 2020-07-31 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: Weed management Decision Support Systems (DSS) are increasingly important computer-based tools for modern agriculture. Nowadays, extensive agriculture has become highly dependent on external inputs and both economic costs, as well the negative environmental impact of agricultural activities, demands knowledge-based technology for the optimization and protection of non-renewable resources. In this context, weed management strategies should aim to maximize economic profit by preserving and enhancing agricultural systems. Although previous contributions focusing on weed biology and weed management provide valuable insight on many aspects of weed species ecology and practical guides for weed control, no attempts have been made to highlight the forthcoming importance of DSS in weed management. This book is a first attempt to integrate `concepts and practice’ providing a novel guide to the state-of-art of DSS and the future prospects which hopefully would be of interest to higher-level students, academics and professionals in related areas.

Download or read book Machine Intelligence Techniques for Data Analysis and Signal Processing written by Dilip Singh Sisodia and published by Springer Nature. This book was released on 2023-05-30 with total page 879 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises the proceedings of the 4th International Conference on Machine Intelligence and Signal Processing (MISP2022). The contents of this book focus on research advancements in machine intelligence, signal processing, and applications. The book covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. It also includes the progress in signal processing to process the normal and abnormal categories of real-world signals such as signals generated from IoT devices, smart systems, speech, and videos and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), electromyogram (EMG), etc. This book proves a valuable resource for those in academia and industry.

Download or read book Recent Advances in Big Data Machine and Deep Learning for Precision Agriculture written by Muhammad Fazal Ijaz and published by Frontiers Media SA. This book was released on 2024-02-19 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Weed Technology written by and published by . This book was released on 2008 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Artificial Neural Networks in Agriculture written by Sebastian Kujawa and published by Mdpi AG. This book was released on 2021-11-11 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern agriculture needs to have high production efficiency combined with a high quality of obtained products. This applies to both crop and livestock production. To meet these requirements, advanced methods of data analysis are more and more frequently used, including those derived from artificial intelligence methods. Artificial neural networks (ANNs) are one of the most popular tools of this kind. They are widely used in solving various classification and prediction tasks, for some time also in the broadly defined field of agriculture. They can form part of precision farming and decision support systems. Artificial neural networks can replace the classical methods of modelling many issues, and are one of the main alternatives to classical mathematical models. The spectrum of applications of artificial neural networks is very wide. For a long time now, researchers from all over the world have been using these tools to support agricultural production, making it more efficient and providing the highest-quality products possible.

Download or read book Geospatial Technology to Support Communities and Policy written by Swagata Ghosh and published by Springer Nature. This book was released on with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Remote Sensing in Precision Agriculture written by Salim Lamine and published by Elsevier. This book was released on 2023-10-20 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remote Sensing in Precision Agriculture: Transforming Scientific Advancement into Innovation compiles the latest applications of remote sensing in agriculture using spaceborne, airborne and drones' geospatial data. The book presents case studies, new algorithms and the latest methods surrounding crop sown area estimation, determining crop health status, assessment of vegetation dynamics, crop diseases identification, crop yield estimation, soil properties, drone image analysis for crop damage assessment, and other issues in precision agriculture. This book is ideal for those seeking to explore and implement remote sensing in an effective and efficient manner with its compendium of scientifically and technologically sound information. - Presents a well-integrated collection of chapters, with quality, consistency and continuity - Provides the latest RS techniques in Precision Agriculture that are addressed by leading experts - Includes detailed, yet geographically global case studies that can be easily understood, reproduced or implemented - Covers geospatial data, with codes available through shared links

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 Hyperspectral Remote Sensing written by Prem Chandra Pandey and published by Elsevier. This book was released on 2020-08-05 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hyperspectral Remote Sensing: Theory and Applications offers the latest information on the techniques, advances and wide-ranging applications of hyperspectral remote sensing, such as forestry, agriculture, water resources, soil and geology, among others. The book also presents hyperspectral data integration with other sources, such as LiDAR, Multi-spectral data, and other remote sensing techniques. Researchers who use this resource will be able to understand and implement the technology and data in their respective fields. As such, it is a valuable reference for researchers and data analysts in remote sensing and Earth Observation fields and those in ecology, agriculture, hydrology and geology. - Includes the theory of hyperspectral remote sensing, along with techniques and applications across a variety of disciplines - Presents the processing, methods and techniques utilized for hyperspectral remote sensing and in-situ data collection - Provides an overview of the state-of-the-art, including algorithms, techniques and case studies

Download or read book Biopesticides written by Aaron Gross and published by Amer Chemical Society. This book was released on 2015-02-23 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Resistance to conventional pesticides has been growing rapidly among all pests. Furthermore, there is increased public concern about the safety of conventional pesticides, and increased governmental restrictions have resulted in the need to identify new compounds that are safe and effective in controlling pests that are of concern to agriculture as well as to public and animal health. Biopesticides may aid in the control of such pests with fewer deleterious effects to the environment, people and animals. The U.S. Environmental Protection Agency (EPA) defines biopesticides as "pesticides derived from such natural materials as animals, plants, bacteria, and certain minerals" (www.epa.gov). According to the U.S. EPA's website in 2014 there were more than 430 registered biopesticides along with 1320 active product registrations. Biopesticides have seen a recent growth, which is partially due to increased advances in biotechnological tools for pest control. However, the growth has been largely spurred by the growing needs for new tools to fight pesticide resistance and safer and more benign means of pest management. This volume and the chapters contained within it resulted from the "Biopesticides: State of the Art and Future Opportunities" symposium held at the 246th ACS National Meeting in Indianapolis, Indiana, September 8-12, 2013. The symposium was comprised of 38 papers in five sessions: The Big Picture, Repellents and Attractants, Insecticides and Nematicides, Products from Genetic Improvements, and Economic, Regulatory and Future Needs. Biopesticides: State of the Art and Future Opportunities offers a wealth of information that will enrich the knowledge of experts in the field of biopesticide research.

Download or read book Photovoltaic Solar Energy Conversion written by Shiva Gorjian and published by Academic Press. This book was released on 2020-07-17 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Photovoltaic Solar Energy Conversion - Technologies, Applications and Environmental Impacts features comprehensive and up-to-date knowledge on the photovoltaic solar energy conversion technology and describes its different aspects in the context of most recent scientific and technological advances. It also provides an insight into future developments in this field by covering four distinct topics include "PV Cells and Modules", "Applications of PV Systems", "Life Cycle and Environmental Impacts" and "PV Market and Policies". An up-to-date reference book on the advances of photovoltaic solar energy conversion technology Describes different aspects of PV and PVT technologies in a comprehensive way Provides information on design, development, and monitoring of PV systems Covers applications of PV and PVT systems in the urban, industry, and agriculture sectors Features new concepts, environmental impacts, market and policies of the PV technology

Download or read book High Throughput Crop Phenotyping written by Jianfeng Zhou and published by Springer Nature. This book was released on 2021-07-17 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of the innovations in crop phenotyping using emerging technologies, i.e., high-throughput crop phenotyping technology, including its concept, importance, breakthrough and applications in different crops and environments. Emerging technologies in sensing, machine vision and high-performance computing are changing the world beyond our imagination. They are also becoming the most powerful driver of the innovation in agriculture technology, including crop breeding, genetics and management. It includes the state of the art of technologies in high-throughput phenotyping, including advanced sensors, automation systems, ground-based or aerial robotic systems. It also discusses the emerging technologies of big data processing and analytics, such as advanced machine learning and deep learning technologies based on high-performance computing infrastructure. The applications cover different organ levels (root, shoot and seed) of different crops (grains, soybean, maize, potato) at different growth environments (open field and controlled environments). With the contribution of more than 20 world-leading researchers in high-throughput crop phenotyping, the authors hope this book provides readers the needed information to understand the concept, gain the insides and create the innovation of high-throughput phenotyping technology.

Download or read book Computer Vision and Machine Learning in Agriculture written by Mohammad Shorif Uddin and published by Springer Nature. This book was released on 2021-03-23 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses computer vision, a noncontact as well as a nondestructive technique involving the development of theoretical and algorithmic tools for automatic visual understanding and recognition which finds huge applications in agricultural productions. It also entails how rendering of machine learning techniques to computer vision algorithms is boosting this sector with better productivity by developing more precise systems. Computer vision and machine learning (CV-ML) helps in plant disease assessment along with crop condition monitoring to control the degradation of yield, quality, and severe financial loss for farmers. Significant scientific and technological advances have been made in defect assessment, quality grading, disease recognition, pests, insects, fruits, and vegetable types recognition and evaluation of a wide range of agricultural plants, crops, leaves, and fruits. The book discusses intelligent robots developed with the touch of CV-ML which can help farmers to perform various tasks like planting, weeding, harvesting, plant health monitoring, and so on. The topics covered in the book include plant, leaf, and fruit disease detection, crop health monitoring, applications of robots in agriculture, precision farming, assessment of product quality and defects, pest, insect, fruits, and vegetable types recognition.

Download or read book Fundamentals of Agricultural and Field Robotics written by Manoj Karkee and published by Springer Nature. This book was released on 2021 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past century, mechanization has been an important means for optimizing resource utilization, improving worker health and safety and reducing labor requirements in farming while increasing productivity and quality of 4F (Food, Fuel, Fiber, Feed). Recognizing this contribution, agricultural mechanization was considered as one of the top ten engineering achievements of 20th century by the National Academy of Engineering. Accordingly farming communities have adopted increasing level of automation and robotics to further improve the precision management of crops (including input resources), increase productivity and reduce farm labor beyond what has been possible with conventional mechanization technologies. It is more important than ever to continue to develop and adopt novel automation and robotic solutions into farming so that some of the most complex agricultural tasks, which require huge amount of seasonal labor such as fruit and vegetable harvesting, could be automated while meeting the rapidly increasing need for 4F. In addition, continual innovation in and adoption of agricultural automation and robotic technologies is essential to minimize the use of depleting resources including water, minerals and other chemicals so that sufficient amount of safe and healthy food can be produced for current generation while not compromising the potential for the future generation. This book aims at presenting the fundamental principles of various aspects of automation and robotics as they relate to production agriculture (the branch of agriculture dealing with farming operations from field preparation to seeding, to harvesting and field logistics). The building blocks of agricultural automation and robotics that are discussed in the book include sensing and machine vision, control, guidance, manipulation and end-effector technologies. The fundamentals and operating principles of these technologies are explained with examples from cutting-edge research and development currently going on around the word. This book brings together scientists, engineers, students and professionals working in these and related technologies to present their latest examples of agricultural automation and robotics research, innovation and development while explaining the fundamentals of the technology. The book, therefore, benefits those who wish to develop novel agricultural engineering solutions and/or to adopt them in the future. .

Download or read book Smart Agriculture written by Govind Singh Patel and published by CRC Press. This book was released on 2021-02-10 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book endeavours to highlight the untapped potential of Smart Agriculture for the innovation and expansion of the agriculture sector. The sector shall make incremental progress as it learns from associations between data over time through Artificial Intelligence, deep learning and Internet of Things applications. The farming industry and Smart agriculture develop from the stringent limits imposed by a farm's location, which in turn has a series of related effects with respect to supply chain management, food availability, biodiversity, farmers' decision-making and insurance, and environmental concerns among others. All of the above-mentioned aspects will derive substantial benefits from the implementation of a data-driven approach under the condition that the systems, tools and techniques to be used have been designed to handle the volume and variety of the data to be gathered. Contributions to this book have been solicited with the goal of uncovering the possibilities of engaging agriculture with equipped and effective profound learning algorithms. Most agricultural research centres are already adopting Internet of Things for the monitoring of a wide range of farm services, and there are significant opportunities for agriculture administration through the effective implementation of Machine Learning, Deep Learning, Big Data and IoT structures.

Download or read book Ecological Management of Agricultural Weeds written by Matt Liebman and published by Cambridge University Press. This book was released on 2001-07-19 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents principles and practices for ecologically based weed management in a wide range of temperate and tropical farming systems. Special attention is given to the evolutionary challenges that weeds pose and the roles that farmers can play in the development of new weed-management strategies.