Remote Sensing Application For Precision Agriculture

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Remote Sensing Application for Precision Agriculture

Author : Matthew McCabe,Chunyuan Diao,Xiuliang Jin,Zhenhai Li,Dameng Yin
Publisher : Frontiers Media SA
Page : 372 pages
File Size : 49,7 Mb
Release : 2023-08-11
Category : Science
ISBN : 9782832531822

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Remote Sensing Application for Precision Agriculture by Matthew McCabe,Chunyuan Diao,Xiuliang Jin,Zhenhai Li,Dameng Yin Pdf

Precision agriculture is used to improve site-specific agricultural decision-making based on data collection and analysis, formulation of site-specific management recommendations, and implementation of management practices to correct for factors that can limit crop growth, yield, and quality. Various approaches for the remote sensing of soil fertility, water stress, diseases and infestations, and crop growth and condition have been developed and applied for precision agricultural purposes. With developments in remote sensing technologies, the spatial and spectral resolution and return frequencies available from both satellite and other remote collection platforms have improved to the point that the promise of precision agriculture can increasingly be realized. Unmanned aerial vehicles (UAV) in particular are providing newer and deeper insights, leveraging their high resolution, sensor-carrying flexibility and dynamic acquisition schedule. This range of remote sensing platforms has been used to estimate comprehensive information related to crop health and dynamics, providing rapid retrievals of leaf area index, canopy cover, chlorophyll, nitrogen, canopy/leaf water content, canopy/leaf temperature, biomass, and yield, amongst many other variables of interest. In combination, they allow for the expansion from local to regional scales and beyond. There has never been a greater opportunity for remote sensing data to enable precision agricultural insights that can be used to better monitor, manage and respond to in-field changes that might impact crop growth, health and yield.

Remote Sensing in Precision Agriculture

Author : Salim Lamine,Prashant K. Srivastava,Ahmed Kayad,Francisco Munoz Arriola,Prem Chandra Pandey
Publisher : Elsevier
Page : 555 pages
File Size : 42,8 Mb
Release : 2023-10-20
Category : Technology & Engineering
ISBN : 9780323914642

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Remote Sensing in Precision Agriculture by Salim Lamine,Prashant K. Srivastava,Ahmed Kayad,Francisco Munoz Arriola,Prem Chandra Pandey Pdf

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

Sensing Approaches for Precision Agriculture

Author : Ruth Kerry,Alexandre Escolà
Publisher : Springer Nature
Page : 425 pages
File Size : 51,6 Mb
Release : 2021-11-23
Category : Technology & Engineering
ISBN : 9783030784317

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Sensing Approaches for Precision Agriculture by Ruth Kerry,Alexandre Escolà Pdf

Sensing Approaches for Precision Agriculture aims to bring together the ‘state of the art’ of the most popular sensing techniques and the current state of research on the application of sensors in Precision Agriculture (PA). Sensing is of great value in PA because it provides cheap and immediate data for management. This book gives a broad overview of sensing in PA and a coherent introduction for new professionals and research scientists. Readers are introduced to the potential applications of a range of different sensors, how they should be used properly and their limitations for use in PA. Chapters on specific topics and case studies provide depth and enable implementation of the methods by users. A general introduction about sensing techniques in PA is followed by Chapters 2–9 on the most important specific techniques in sensing and Chapters 10–13 include mini-case studies, each showing cutting-edge applications for different sensing methods. Finally, there is an Epilogue on how we expect sensors and analysis to develop.

Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation

Author : Prasad S. Thenkabail,John G. Lyon,Alfredo Huete
Publisher : CRC Press
Page : 385 pages
File Size : 51,9 Mb
Release : 2018-12-07
Category : Science
ISBN : 9780429775161

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Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation by Prasad S. Thenkabail,John G. Lyon,Alfredo Huete Pdf

Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing state-of-the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation. Volume IV, Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation discusses the use of hyperspectral or imaging spectroscopy data in numerous specific and advanced applications, such as forest management, precision farming, managing invasive species, and local to global land cover change detection. It emphasizes the importance of hyperspectral remote sensing tools for studying vegetation processes and functions as well as the appropriate use of hyperspectral data for vegetation management practices. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume IV through the editors’ perspective. Key Features of Volume IV: Guides readers to harness the capabilities of the most recent advances in applying hyperspectral remote sensing technology to the study of terrestrial vegetation. Includes specific applications on agriculture, crop management practices, study of crop stress and diseases, crop characteristics based on inputs (e.g., nitrogen, irrigation), study of vegetation impacted by heavy metals, gross and net primary productivity studies, light use efficiency studies, crop water use and actual evapotranspiration studies, phenology monitoring, land use and land cover studies, global change studies, plant species detection, wetland and forest characterization and mapping, crop productivity and crop water productivity mapping, and modeling. Encompasses hyperspectral or imaging spectroscopy data in narrow wavebands used across visible, red-edge, near-infrared, far-infrared, shortwave infrared, and thermal portions of the spectrum. Explains the implementation of hyperspectral remote sensing data processing mechanisms in a standard, fast, and efficient manner for their applications. Discusses cloud computing to overcome hyperspectral remote sensing massive big data challenges. Provides hyperspectral analysis of rocky surfaces on the earth and other planetary systems.

Agricultural Internet of Things and Decision Support for Precision Smart Farming

Author : Annamaria Castrignano,Gabriele Buttafuoco,Raj Khosla,Abdul Mouazen,Dimitrios Moshou,Olivier Naud
Publisher : Academic Press
Page : 472 pages
File Size : 41,8 Mb
Release : 2020-01-09
Category : Business & Economics
ISBN : 9780128183748

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Agricultural Internet of Things and Decision Support for Precision Smart Farming by Annamaria Castrignano,Gabriele Buttafuoco,Raj Khosla,Abdul Mouazen,Dimitrios Moshou,Olivier Naud Pdf

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

UAS-Remote Sensing Methods for Mapping, Monitoring and Modeling Crops

Author : Francisco Javier Mesas Carrascosa,Joaquim João Sousa
Publisher : MDPI
Page : 174 pages
File Size : 47,9 Mb
Release : 2021-04-22
Category : Technology & Engineering
ISBN : 9783036505268

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UAS-Remote Sensing Methods for Mapping, Monitoring and Modeling Crops by Francisco Javier Mesas Carrascosa,Joaquim João Sousa Pdf

The advances in unmanned aerial vehicle (UAV) platforms and onboard sensors in the past few years have greatly increased our ability to monitor and map crops. The ability to register images at ultrahigh spatial resolution at any moment has made remote sensing techniques increasingly useful in crop management. These technologies have revolutionized the way in which remote sensing is applied in precision agriculture, allowing for decision-making in a matter of days instead of weeks. However, it is still necessary to continue research to improve and maximize the potential of UAV remote sensing in agriculture. This Special Issue of Remote Sensing includes different applications of UAV remote sensing for crop management, covering RGB, multispectral, hyperspectral and light detection and ranging (LiDAR) sensor applications aboard UAVs. The papers reveal innovative techniques involving image analysis and cloud points. However, it should be emphasized that this Special Issue is a small sample of UAV applications in agriculture and that there is much more to investigate.

Remote Sensing Applications for Agriculture and Crop Modelling

Author : Piero Toscano
Publisher : MDPI
Page : 308 pages
File Size : 47,8 Mb
Release : 2020-02-13
Category : Science
ISBN : 9783039282265

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Remote Sensing Applications for Agriculture and Crop Modelling by Piero Toscano Pdf

Crop models and remote sensing techniques have been combined and applied in agriculture and crop estimation on local and regional scales, or worldwide, based on the simultaneous development of crop models and remote sensing. The literature shows that many new remote sensing sensors and valuable methods have been developed for the retrieval of canopy state variables and soil properties from remote sensing data for assimilating the retrieved variables into crop models. At the same time, remote sensing has been used in a staggering number of applications for agriculture. This book sets the context for remote sensing and modelling for agricultural systems as a mean to minimize the environmental impact, while increasing production and productivity. The eighteen papers published in this Special Issue, although not representative of all the work carried out in the field of Remote Sensing for agriculture and crop modeling, provide insight into the diversity and the complexity of developments of RS applications in agriculture. Five thematic focuses have emerged from the published papers: yield estimation, land cover mapping, soil nutrient balance, time-specific management zone delineation and the use of UAV as agricultural aerial sprayers. All contributions exploited the use of remote sensing data from different platforms (UAV, Sentinel, Landsat, QuickBird, CBERS, MODIS, WorldView), their assimilation into crop models (DSSAT, AQUACROP, EPIC, DELPHI) or on the synergy of Remote Sensing and modeling, applied to cardamom, wheat, tomato, sorghum, rice, sugarcane and olive. The intended audience is researchers and postgraduate students, as well as those outside academia in policy and practice.

Smart machines, Remote Sensing, Precision Farming, Processes, Mechatronic, Materials and Policies for Safety and Health Aspects

Author : Andrea Colantoni,Danilo Monarca,Massimo Cecchini,Vincenzo Laurendi,Mauro Villarini,Filippo Gambella
Publisher : MDPI
Page : 265 pages
File Size : 47,6 Mb
Release : 2018-05-18
Category : Agricultural engineering
ISBN : 9783038428657

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Smart machines, Remote Sensing, Precision Farming, Processes, Mechatronic, Materials and Policies for Safety and Health Aspects by Andrea Colantoni,Danilo Monarca,Massimo Cecchini,Vincenzo Laurendi,Mauro Villarini,Filippo Gambella Pdf

This book is a printed edition of the Special Issue" Smart machines, Remote Sensing, Precision Farming, Processes, Mechatronic, Materials and Policies for Safety and Health Aspects" that was published in Agriculture

Precision Agriculture

Author : John V. Lake,Gregory R. Bock,Jamie A. Goode
Publisher : John Wiley & Sons
Page : 259 pages
File Size : 45,5 Mb
Release : 2008-04-30
Category : Technology & Engineering
ISBN : 9780470515426

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Precision Agriculture by John V. Lake,Gregory R. Bock,Jamie A. Goode Pdf

This book investigates new agricultural systems such as organic and green manuring, as well as integrated pest management practices, and looks at how they can improve farm productivity against the enhancements for the environment. Much of the information presented focuses on microinvestigation of the soil, and on the effects of soil variability within fields on yields and nutrient flows.

Hyperspectral Remote Sensing of Agriculture and Vegetation

Author : Simone Pascucci,Stefano Pignatti,Raffaele Casa,Roshanak Darvishzadeh,Wenjiang Huang
Publisher : MDPI
Page : 266 pages
File Size : 55,8 Mb
Release : 2021-01-20
Category : Science
ISBN : 9783039439072

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Hyperspectral Remote Sensing of Agriculture and Vegetation by Simone Pascucci,Stefano Pignatti,Raffaele Casa,Roshanak Darvishzadeh,Wenjiang Huang Pdf

This book shows recent and innovative applications of the use of hyperspectral technology for optimal quantification of crop, vegetation, and soil biophysical variables at various spatial scales, which can be an important aspect in agricultural management practices and monitoring. The articles collected inside the book are intended to help researchers and farmers involved in precision agriculture techniques and practices, as well as in plant nutrient prediction, to a higher comprehension of strengths and limitations of the application of hyperspectral imaging to agriculture and vegetation. Hyperspectral remote sensing for studying agriculture and natural vegetation is a challenging research topic that will remain of great interest for different sciences communities in decades.

Sensors Application in Agriculture

Author : Dimitrios S. Paraforos,Spyros Fountas,Francesco Marinello
Publisher : MDPI
Page : 228 pages
File Size : 50,9 Mb
Release : 2020-11-06
Category : Science
ISBN : 9783039432585

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Sensors Application in Agriculture by Dimitrios S. Paraforos,Spyros Fountas,Francesco Marinello Pdf

Novel technologies are playing an important role in the development of crop and livestock farming and have the potential to be the key drivers of sustainable intensification of agricultural systems. In particular, new sensors are now available with reduced dimensions, reduced costs, and increased performances, which can be implemented and integrated in production systems, providing more data and eventually an increase in information. It is of great importance to support the digital transformation, precision agriculture, and smart farming, and to eventually allow a revolution in the way food is produced. In order to exploit these results, authoritative studies from the research world are still needed to support the development and implementation of new solutions and best practices. This Special Issue is aimed at bringing together recent developments related to novel sensors and their proved or potential applications in agriculture.

GIS Applications in Agriculture

Author : Francis J. Pierce,David Clay
Publisher : CRC Press
Page : 224 pages
File Size : 50,6 Mb
Release : 2007-02-13
Category : Science
ISBN : 9781420007718

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GIS Applications in Agriculture by Francis J. Pierce,David Clay Pdf

The increased efficiency and profitability that the proper application of technology can provide has made precision agriculture the hottest developing area within traditional agriculture. The first single-source volume to cover GIS applications in agronomy, GIS Applications in Agriculture examines ways that this powerful technology can help farmers

Methodologies Used in Remote Sensing Data Analysis and Remote Sensors for Precision Agriculture

Author : Jiyul Chang,Sigfredo Fuentes
Publisher : Mdpi AG
Page : 0 pages
File Size : 46,8 Mb
Release : 2023-02-08
Category : Technology & Engineering
ISBN : 3036566147

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Methodologies Used in Remote Sensing Data Analysis and Remote Sensors for Precision Agriculture by Jiyul Chang,Sigfredo Fuentes Pdf

When adopting remote sensing techniques in precision agriculture, there are two main areas to consider: data acquisition and data analysis methodologies. Imagery and remote sensor data collected using different platforms provide a variety of information volumes and formats. For example, recent research in precision agriculture has used multispectral images from different platforms, such as satellites, airborne, and, most recently, drones. These images have been used for various analyses, from the detection of pests and diseases, growth, and water status of crops to yield estimations. However, accurately detecting specific biotic or abiotic stresses requires a narrow range of spectral information to be analyzed for each application. In data analysis, the volume and complexity of data formats obtained using the latest technologies in remote sensing (e.g., a cube of data for hyperspectral imagery) demands complex data processing systems and data analysis using multiple inputs to estimate specific categorical or numerical targets. New and emerging methodologies within artificial intelligence, such as machine learning and deep learning, have enabled us to deal with these increasing data volumes and the analysis complexity.

Precision Crop Protection - the Challenge and Use of Heterogeneity

Author : Erich-Christian Oerke,Roland Gerhards,Gunter Menz,Richard A. Sikora
Publisher : Springer Science & Business Media
Page : 441 pages
File Size : 48,9 Mb
Release : 2010-08-03
Category : Technology & Engineering
ISBN : 9789048192779

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Precision Crop Protection - the Challenge and Use of Heterogeneity by Erich-Christian Oerke,Roland Gerhards,Gunter Menz,Richard A. Sikora Pdf

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.