Download or read book Model Reduction and Remote Sensing for Precision Irrigation Applications written by Soumya Ranjan Sahoo and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Two-thirds of the world population faces severe water stress at least once per month in a year. The rapidly growing population exacerbates freshwater scarcity. Additionally, climate change, pollution, and bio-energy demands amplify the water demand problem. Since a large percentage of freshwater withdrawals are for agricultural irrigation, increasing water-use efficiency in irrigation becomes extremely important. Closed-loop irrigation is one of the precision irrigation techniques which has the potential to improve water-use efficiency than the traditional approaches. Due to the large-scale features of agricultural fields and significant uncertainty, there are significant challenges associated with closed-loop irrigation including sensor placement, data assimilation, and controller design. This thesis addresses some of the major challenges of applying closed-loop irrigation in the actual fields by proposing novel methods. Due to the availability of a limited number of sensors, in a typical agricultural field, it is essential to know the minimum number of sensors and optimal location of the sensors to estimate the field's soil moisture. The structure-preserving graph-based approach is used to reduce the order of a large-scale system model. A systematic approach has been developed to find the minimum number and best location of the sensors using observability and degree of observability analysis. In some irrigation implementing systems, the irrigation amount is non-uniform in spatial directions. In these scenarios, one reduced model for the whole time may not capture all the dynamics of a large-scale field or may increment the order of the resulting reduced model. Dynamic model reduction is proposed to handle these scenarios, where different reduced models are computed at different periods of time. Further, the sensor placement using dynamic reduced order is developed. Next, the framework for the state estimation of the large-scale field using the advanced optimization-based moving horizon estimation (MHE) is developed. The trajectory-based unsupervised machine learning method is proposed for adaptive model reduction of very large agricultural fields. Further, the algorithm of the existing MHE is modified to handle the adaptive reduced model. The proposed approach is applied to estimate the states of a real-agricultural field scenario located in Lethbridge, Canada. Afterward, an optimization-based closed-loop scheduler for large agricultural fields to provide optimal irrigation time and the amount is developed. The structure-preserving model reduction is used to decrease the dimension of the three-dimensional model. The scheduler has an objective similar to the economic zone MPC. In addition to that, time is also a decision variable to the optimization problem. The final objective is to maximize the yield while minimizing the water consumption and maximizing the time between the irrigation events. Further, the algorithm for surface soil moisture estimation using the thermal and optical remote sensing method is developed. The machine learning-based Long Short-Term Memory (LSTM) model is used to estimate the surface soil moisture. Due to the time-varying nature of the agro-hydrological model, the LSTM model is more preferred than the static neural network model. The LSTM based model is trained to obtain the surface soil moisture from the remote sensing images and the weather conditions. The developed method is applied to a real-agricultural farm located in Lethbridge, Canada using the experimental data collected in summer 2019. In this thesis, the details of the study area and experimental data collection procedure for experiments conducted in summer 2019 and 2020 at an agricultural field and a golf club are provided.

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 Remote Sensing Applications for Agriculture and Crop Modelling written by Piero Toscano and published by MDPI. This book was released on 2020-02-13 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Soil Moisture and Hydraulic Parameter Estimation and Remote Sensing for Precision Irrigation written by Erfan Orouskhani and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Water scarcities are becoming serious issues worldwide primarily due to population growth, climate change, and increasing pollution. Since a large portion of freshwater is consumed in agricultural activities, with the main consumer being irrigation, increasing the water-use efficiency in irrigation through precision irrigation is a critical step toward reducing the freshwater shortage. Precision irrigation can be achieved by forming a closed-loop irrigation system that closes the irrigation decision loop. To implement the closed-loop irrigation, soil moisture information that is required for feedback control must be provided. In order to obtain the soil moisture information of the entire field, the soil moisture estimation techniques based on the measurements of a small number of sensors are proposed. While soil moisture estimation in agricultural fields is possible, a few main challenges yet exist. Firstly, because of the limited number of available sensors in the agricultural fields, a major challenge is to identify the optimal location of the sensors in the soil so that improved state estimation can be achieved. Additionally, accurate quantification of soil hydraulic parameters, which are crucial for developing an agro-hydrological model and affect its accuracy, is essential for estimating soil moisture. Another challenge associated with soil moisture estimation is converting the remote sensing data into soil moisture that can provide the soil moisture measurements for a large region of the agricultural field. The purpose of this thesis is to find solutions to the aforementioned challenges, resulting in a comprehensive soil moisture estimation method that can be used for closed-loop irrigation. Firstly, we describe an actual agricultural field in Lethbridge, Canada studied in this thesis. A three-dimensional agro-hydrological framework is then developed to model the actual field. We specifically use the cylindrical coordinates version of the Richards equation to model a field equipped with a center pivot irrigation system. The heterogeneous distribution of the soil parameters is considered in the Richards model. The modal degree of observability is then applied to the 3D field model to determine the optimal sensor locations in the actual field. The extended Kalman filter is also employed to estimate the soil moisture content of the actual field using the real measurements obtained from the point sensors. The estimation results are then analyzed to investigate the effects of sensor placement on the performance of soil moisture estimation in the actual applications. To address the second challenge, we propose a systematic estimation approach to simultaneously estimate the soil moisture and soil hydraulic parameters in the 3D agro-hydrological systems with spatially heterogeneous soil parameters. In this part, microwave remote sensors that are mounted on the center pivots are considered to provide the rotating measurements. The sensitivity analysis is employed to determine the most important subset of soil hydraulic parameters for estimation. Another feature of the proposed method is using the Kriging interpolation method for updating the rest parameters that are not estimated. The proposed method is applied to two different simulated three-dimensional fields, and the simulation results of the considered agro-hydrological systems illustrate the applicability and effectiveness of the proposed method on the performance of soil moisture estimation. Further, the algorithm for surface soil moisture estimation using the thermal and optical remote sensing images is proposed. The machine learning-based Multilayer Perceptron (MLP) model is developed to convert the multispectral images to soil moisture. The developed model is applied to the real agricultural field in Lethbridge and is trained using the experimental data collected in the summer of 2019. The results demonstrate a strong agreement between the measured soil moisture and predicted soil moisture from the MLP model. Throughout this thesis, we demonstrate how the proposed solutions can be used to effectively address the challenges discussed earlier.

Download or read book Remote Sensing Application for Precision Agriculture written by Xiuliang Jin and published by Frontiers Media SA. This book was released on 2023-06-29 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Sensing Approaches for Precision Agriculture written by Ruth Kerry and published by Springer Nature. This book was released on 2021-11-23 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Satellite Farming written by Latief Ahmad and published by Springer. This book was released on 2019-02-15 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the recent advances in precision agriculture and satellite farming, detailing applications for sensing, data handling, modeling, and control. In addition, the book reviews its history - establishing the background on the various processes and applications – describes the current status, and offers insight into the future technology of satellite farming in India. Introducing processes and applications based on a global scale, the book reveals how precision agriculture can be used in large-scale agriculture, community agriculture, and diversified farming. It includes site-specific information from a variety of information sources for planning, planting, growing, and harvesting agricultural crops. It also presents a new concept based on the control system theory that can be used to formulate systematic methods for more effective precision crop production. Precision agriculture when properly integrated into the crop production process, can greatly improve overall production and sustainability.

Download or read book Remote Sensing in Precision Agriculture written by Salim Lamine and published by Elsevier. This book was released on 2023-02-15 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remote Sensing in Precision Agriculture 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 Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation written by Prasad S. Thenkabail and published by CRC Press. This book was released on 2018-12-07 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Agri Tech Approaches for Nutrients and Irrigation Water Management written by Shivam Gupta and published by CRC Press. This book was released on 2024-06-03 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes concepts, methodologies, and techniques used in soil nutrients and irrigation water management with regional and global prospects. This book accommodates up-to-date approaches to agricultural technologies along with future directions and compiles a wide range of articles ranging from soil moisture flow, nutrient dynamics, crop water estimation techniques, approaches to improve crop water productivity and soil health, crop simulation modeling, and remote sensing/GIS applications. The book also includes chapters on climate-resilient agriculture, advances in big data and machine-learning techniques, IoT, plasma technology, seed priming, and precision farming techniques and their environmental/economic impacts. Features: • Discusses applications sustainable technologies for soil nutrients and irrigation water management at multi-scale. • Covers application of remote sensing/GIS, big data and machine learning, IoT, plasma technology, seed priming, and precision farming techniques for nutrients and water management. • Reviews concepts, methodologies, and techniques being used in soil nutrients and irrigation water management. • Provides up-to-date information as well as future directions in the field of nutrients and agricultural water management. This book is aimed at researchers and graduate students in agriculture, water resources, environment, and irrigation engineering.

Download or read book Agri Tech Approaches for Nutrients and Irrigation Water Management written by Shivam Gupta and published by CRC Press. This book was released on 2024-06-03 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes concepts, methodologies, and techniques used in soil nutrients and irrigation water management with regional and global prospects. This book accommodates up-to-date approaches to agricultural technologies along with future directions and compiles a wide range of articles ranging from soil moisture flow, nutrient dynamics, crop water estimation techniques, approaches to improve crop water productivity and soil health, crop simulation modeling, and remote sensing/GIS applications. The book also includes chapters on climate-resilient agriculture, advances in big data and machine-learning techniques, IoT, plasma technology, seed priming, and precision farming techniques and their environmental/economic impacts. Features: • Discusses applications sustainable technologies for soil nutrients and irrigation water management at multi-scale. • Covers application of remote sensing/GIS, big data and machine learning, IoT, plasma technology, seed priming, and precision farming techniques for nutrients and water management. • Reviews concepts, methodologies, and techniques being used in soil nutrients and irrigation water management. • Provides up-to-date information as well as future directions in the field of nutrients and agricultural water management. This book is aimed at researchers and graduate students in agriculture, water resources, environment, and irrigation engineering.

Download or read book Digital Agricultural Ecosystem written by Kuldeep Singh and published by John Wiley & Sons. This book was released on 2024-04-16 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital Agricultural Ecosystem The book comprehensively explores the dynamic synergy between modern technology and agriculture, showcasing how advancements such as artificial intelligence, data analytics, and smart farming practices are reshaping the landscape to ensure food security in the era of climate change, as well as bridging the gap between cutting-edge research and practical implementation. Agriculture has historically been the foundation of human civilization and benefits communities all around the world. Agriculture has a creative, adaptable, and innovative history, and as the digital age draws closer, agriculture is once again poised for change. Each of the 20 chapters explores the connection between agricultural and technological advancements, and are divided into four key areas. Part 1 covers knowledge sharing in the digital agricultural ecosystem. In the context of modern agriculture, the chapters underscore the importance of information flow. Through comprehensive reviews of literature and assessments of farmer participation on social media platforms, these chapters illustrate the value of information sharing for sustainable agriculture. Part 2 explores the adoption and impact of digital technologies in agriculture. The use of cutting-edge digital technologies in agriculture is examined thoroughly in this section. The chapters included here outline how precision, artificial intelligence, and blockchain technology have the potential to transform methods of agriculture and improve food systems. Part 3 addresses smart farming and sustainable agriculture. This section focuses on sustainability and offers details on eco-friendly production methods, the significance of smart farming in many nations, including India and the UK, and cost-effective fertilizer sprayer technologies. Part 4 examines the modeling and analysis of agricultural systems. This last section explores how mathematical modeling and data analytics are used in agricultural systems, with insights on everything from the study of credit access constraints in rural regions to water resource management in irrigation systems. Audience The diverse readership includes farmers, agronomists, agricultural researchers, policymakers, environmentalists, information technologists, and students from academic and professional fields who are eager to learn more about how digital innovation and sustainable agriculture can be used to address global issues such as climate change, food security, and smart farming.

Download or read book Applications of Remote Sensing in Agriculture written by M. D. Steven and published by Elsevier. This book was released on 2013-10-22 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications of Remote Sensing in Agriculture contains the proceedings of the 48th Easter School in Agricultural Science, held at the University of Nottingham on April 3-7, 1989. The meeting invites 146 delegates from over 22 countries and contributions to this book come from nine countries. This book generally presents a review of the achievements of remote sensing in agriculture, establishes the state of the art, and gives pointers to developments. This text is organized into seven parts, wherein Parts I-III cover the principles of remote sensing, climate, soil, land classification, and crop inventories. Productivity; stress; techniques for agricultural applications; and opportunities, progress, and prospects in the field of remote sensing in agriculture are also discussed.

Download or read book UAS Remote Sensing Methods for Mapping Monitoring and Modeling Crops written by Francisco Javier Mesas Carrascosa and published by MDPI. This book was released on 2021-04-22 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Remote Sensing Application II written by Tofael Ahamed and published by Springer Nature. This book was released on with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Precision Agriculture Modelling written by Davide Cammarano and published by Springer Nature. This book was released on 2023-01-03 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes how models are used to monitor crops and soils in precision agriculture, and how they are used to support farmers’ decisions. The introductory section starts with an overview of precision agriculture from the early days of yield monitoring in the 1980s to the present, with a focus on the role of models. The section continues with descriptions of the different kinds of models and the opportunities for their application in precision agriculture. The section concludes with a chapter on socio-economic drivers and obstacles to the adoption of precision agriculture technologies. The middle section of the book explores the state-of-the-art in modeling for precision agriculture. Individual chapters focus on the major processes in precision agriculture: water use, nitrogen and other amendments, as well as weeds, pests and diseases. The final section contains a series of short chapters that each describe a commercial, model-based service that is currently available to farmers. The book aims to provide useful information to graduate-level professionals that want to broaden their knowledge of precision agriculture; to scientists who want to learn about using academic knowledge in practical farming; and to farmers, farm consultants and extension workers who want to increase their understanding of the science behind some of the commercial software available to the farming community.

Download or read book Women in Precision Agriculture written by Takoi Khemais Hamrita and published by Springer Nature. This book was released on 2020-08-17 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features influential scholarly research and technical contributions, professional trajectories, disciplinary shifts, personal insights, and a combination of these from a group of remarkable women scholars within precision agriculture. The authors provide a holistic and critical overview of the field of precision agriculture (both crop and livestock), highlighting breakthroughs and impactful research led by women investigators including relevant technologies, decision making strategies, practices, applications, economics, opportunities and challenges. They discuss the urgent need for reduced cost, increased productivity, more optimal use of resources, and reduced impact on our environment. The leading female researchers contributing to this book are creating new technological advances that are revolutionizing agriculture. Focuses on advances in precision agriculture led by leading women researchers, scholars, and professionals; Provides insight into women’s technical contributions in precision agriculture; Takes a holistic approach to precision agriculture, addressing both land and livestock applications.