Development Of A Site Specific Herbicide Application Decision Support System
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Author | : Guillermo R. Chantre |
Publisher | : Springer Nature |
Total Pages | : 341 |
Release | : 2020-07-31 |
Genre | : Technology & Engineering |
ISBN | : 3030444023 |
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.
Author | : Qin Zhang |
Publisher | : Springer Nature |
Total Pages | : 1636 |
Release | : 2023-10-11 |
Genre | : Technology & Engineering |
ISBN | : 3031248619 |
Digital agriculture is an emerging concept of modern farming that refers to managing farms using modern Engineering, Information and Communication Technologies (EICT) aiming at increasing the overall efficiency of agricultural production, improving the quantity and quality of products, and optimizing the human labor required and natural resource consumption in operations. This encyclopedia is designed to collect the summaries of knowledge on as many as subjects or aspects relevant to ECIT for digital agriculture, present such knowledge in entries, and arrange them alphabetically by articles titles. Springer Major Reference Works platform offers Live Update capability. Our reference work takes full advantage of this feature, which allows for continuous improvement or revision of published content electronically. The Editorial Board Dr. Irwin R. Donis-Gonzalez, University of California Davis, Dept. Biological and Agricultural Engineering, Davis, USA (Section: Postharvest Technologies) Prof. Paul Heinemann, Pennsylvania State University, Department Head of Agricultural and Biological Engineering, PA, USA (Section: Technologies for Crop Production) Prof. Manoj Karkee, Washington State University, Center for Precision and Automated Agricultural Systems, Washington, USA (Section: Robotics and Automation Technologies) Prof. Minzan Li, China Agricultural University, Beijing, China (Section: Precision Agricultural Technologies) Prof. Dikai Liu, University of Technology Sydney (UTS),Faculty of Engineering & Information Technologies, Broadway NSW, Australia (Section: AI, Information and Communication Technologies) Prof. Tomas Norton, University of Leuven, Dept. of Biosystems, Heverlee Leuven, Belgium (Section: Technologies for Animal and Aquatic Production) Dr. Manuela Zude-Sasse, Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Precision Horticulture, Potsdam, Germany (Section: Engineering and Mechanization Technologies)
Author | : Lajpat R. Ahuja |
Publisher | : CRC Press |
Total Pages | : 374 |
Release | : 2016-04-19 |
Genre | : Science |
ISBN | : 1420032410 |
Most books covering the use of computer models in agricultural management systems target only one or two types of models. There are few texts available that cover the subject of systems modeling comprehensively and that deal with various approaches, applications, evaluations, and uses for technology transfer. Agricultural System Models in Field Res
Author | : Erich-Christian Oerke |
Publisher | : Springer Science & Business Media |
Total Pages | : 450 |
Release | : 2010-08-03 |
Genre | : Technology & Engineering |
ISBN | : 9048192773 |
Precision farming is an agricultural management system using global navigation satellite systems, geographic information systems, remote sensing, and data management systems for optimizing the use of nutrients, water, seed, pesticides and energy in heterogeneous field situations. This book provides extensive information on the state-of-the-art of research on precision crop protection and recent developments in site-specific application technologies for the management of weeds, arthropod pests, pathogens and nematodes. It gives the reader an up-to-date and in-depth review of both basic and applied research developments. The chapters discuss I) biology and epidemiology of pests, II) new sensor technologies, III) applications of multi-scale sensor systems, IV) sensor detection of pests in growing crops, V) spatial and non-spatial data management, VI) impact of pest heterogeneity and VII) precise mechanical and chemical pest control.
Author | : J. L. Hatfield |
Publisher | : CRC Press |
Total Pages | : 404 |
Release | : 1997-11-01 |
Genre | : Technology & Engineering |
ISBN | : 9781575040691 |
Integrated Weed and Soil Management explores the connection between soil science and weed control, providing the latest research and applications for weed management in agricultural systems. Five major areas discussed include: surface residue, tillage, and weed and soil management integration of soil and weed management to reduce environmental degradation modeling weed emergence, interference, and management new technology and management development of the next generation of weed management systems Throughout the text, the editors and contributors replace weed control terminology with weed management terminology, shifting the paradigm of one of control to one of better management. Integrated Weed and Soil Management, a great reference for higher research, improves your understanding of soil science, weed biology, and ecology - leading to effective practical application and maximum results.
Author | : Ruben Alvarez-Fernandez |
Publisher | : BoD – Books on Demand |
Total Pages | : 263 |
Release | : 2012-01-20 |
Genre | : Technology & Engineering |
ISBN | : 9533078928 |
Weeds severely affect crop quality and yield. Therefore, successful farming relies on their control by coordinated management approaches. Among these, chemical herbicides are of key importance. Their development and commercialization began in the 1940's and they allowed for a qualitative increase in crop yield and quality when it was most needed. This book blends review chapters with scientific studies, creating an overview of some the current trends in the field of herbicides. Included are environmental studies on their toxicity and impact on natural populations, methods to reduce herbicide inputs and therefore overall non-target toxicity, and the use of bioherbicides as natural alternatives.
Author | : Frank Den Hond |
Publisher | : John Wiley & Sons |
Total Pages | : 272 |
Release | : 2008-04-15 |
Genre | : Technology & Engineering |
ISBN | : 0470995440 |
Despite a history of several decades of pesticide regulation, continuous innovation, and considerable practical experience with using pesticides in agriculture, the environmental impact of pesticide use continues to be of serious concern.
Author | : Robert L Zimdahl |
Publisher | : Academic Press |
Total Pages | : 671 |
Release | : 2013-08-09 |
Genre | : Science |
ISBN | : 0123978181 |
This book addresses herbicides and their use as an important aspect of modern weed management and strives to place them in an ecological framework. Many weed scientists believe agriculture is a continuing struggle with weeds--without good weed control, good and profitable agriculture is impossible. Each agricultural discipline sees itself as central to agriculture's success and continued progress, and weed science is no exception. While not denying the importance of weed management to successful agriculture, this book places it in a larger ecological context. The roles of culture, economics, and politics in weed management are also discussed, enabling scientists and students to understand the larger effects on society. - Information on New herbicides included, along with the old herbicides that are important for understanding the history - New section on weed resistance to herbicides and genetic engineering - New information on invasive plants - Expanded chapters on Biological Control, Pesticide Legislation and Regulation, Weed Management Systems, and more - Instructor resources can be found at http://textbooks.elsevier.com/web/Login.aspx, and it is password protected. Please contact your sales representative at [email protected] for access to the instructor resources. The insturctor site consists of chapter questions, essay questions, an exam and images from the book
Author | : Debesh Mishra |
Publisher | : Walter de Gruyter GmbH & Co KG |
Total Pages | : 192 |
Release | : 2022-07-18 |
Genre | : Computers |
ISBN | : 3110745364 |
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.
Author | : Annamaria Castrignano |
Publisher | : Academic Press |
Total Pages | : 472 |
Release | : 2020-01-09 |
Genre | : Business & Economics |
ISBN | : 0128183748 |
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