Methodologies Used In Remote Sensing Data Analysis And Remote Sensors For Precision Agriculture

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

Author : Jiyul Chang
Publisher : Mdpi AG
ISBN 13 : 9783036566146
Total Pages : 0 pages
Book Rating : 4.5/5 (661 download)

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Book Synopsis Methodologies Used in Remote Sensing Data Analysis and Remote Sensors for Precision Agriculture by : Jiyul Chang

Download or read book Methodologies Used in Remote Sensing Data Analysis and Remote Sensors for Precision Agriculture written by Jiyul Chang and published by Mdpi AG. This book was released on 2023-02-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Remote Sensing in Precision Agriculture

Author : Salim Lamine
Publisher : Elsevier
ISBN 13 : 0323914640
Total Pages : 555 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Remote Sensing in Precision Agriculture by : Salim Lamine

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

Sensing Approaches for Precision Agriculture

Author : Ruth Kerry
Publisher : Springer Nature
ISBN 13 : 3030784312
Total Pages : 425 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Sensing Approaches for Precision Agriculture by : Ruth Kerry

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.

High Spatial Resolution Remote Sensing

Author : Yuhong He
Publisher : CRC Press
ISBN 13 : 0429893000
Total Pages : 381 pages
Book Rating : 4.4/5 (298 download)

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Book Synopsis High Spatial Resolution Remote Sensing by : Yuhong He

Download or read book High Spatial Resolution Remote Sensing written by Yuhong He and published by CRC Press. This book was released on 2018-06-27 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: High spatial resolution remote sensing is an area of considerable current interest and builds on developments in object-based image analysis, commercial high-resolution satellite sensors, and UAVs. It captures more details through high and very high resolution images (10 to 100 cm/pixel). This unprecedented level of detail offers the potential extraction of a range of multi-resource management information, such as precision farming, invasive and endangered vegetative species delineation, forest gap sizes and distribution, locations of highly valued habitats, or sub-canopy topographic information. Information extracted in high spatial remote sensing data right after a devastating earthquake can help assess the damage to roads and buildings and aid in emergency planning for contact and evacuation. To effectively utilize information contained in high spatial resolution imagery, High Spatial Resolution Remote Sensing: Data, Analysis, and Applications addresses some key questions: What are the challenges of using new sensors and new platforms? What are the cutting-edge methods for fine-level information extraction from high spatial resolution images? How can high spatial resolution data improve the quantification and characterization of physical-environmental or human patterns and processes? The answers are built in three separate parts: (1) data acquisition and preprocessing, (2) algorithms and techniques, and (3) case studies and applications. They discuss the opportunities and challenges of using new sensors and platforms and high spatial resolution remote sensing data and recent developments with a focus on UAVs. This work addresses the issues related to high spatial image processing and introduces cutting-edge methods, summarizes state-of-the-art high spatial resolution applications, and demonstrates how high spatial resolution remote sensing can support the extraction of detailed information needed in different systems. Using various high spatial resolution data, the third part of this book covers a range of unique applications, from grasslands to wetlands, karst areas, and cherry orchard trees.

Predictive Soil Mapping with R

Author : Tomislav Hengl
Publisher : Lulu.com
ISBN 13 : 0359306357
Total Pages : 372 pages
Book Rating : 4.3/5 (593 download)

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Book Synopsis Predictive Soil Mapping with R by : Tomislav Hengl

Download or read book Predictive Soil Mapping with R written by Tomislav Hengl and published by Lulu.com. This book was released on 2019-02-16 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive Soil Mapping (PSM) is based on applying statistical and/or machine learning techniques to fit models for the purpose of producing spatial and/or spatiotemporal predictions of soil variables i.e. maps of soil properties and classes at different resolutions. It is a multidisciplinary field combining statistics, data science, soil science, physical geography, remote sensing, geoinformation science and a number of other sciences. Predictive Soil Mapping with R is about understanding the main concepts behind soil mapping, mastering R packages that can be used to produce high quality soil maps, and about optimizing all processes involved so that also the production costs can be reduced. The online version of the book is available at: https: //envirometrix.github.io/PredictiveSoilMapping/ Pull requests and general comments are welcome. These materials are based on technical tutorials initially developed by the ISRIC's Global Soil Information Facilities (GSIF) development team over the period 2014?2017

Review of the available remote sensing tools, products, methodologies and data to improve crop production forecasts

Author : Food and Agriculture Organization of the United Nations
Publisher : Food & Agriculture Org.
ISBN 13 : 9251098409
Total Pages : 94 pages
Book Rating : 4.2/5 (51 download)

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Book Synopsis Review of the available remote sensing tools, products, methodologies and data to improve crop production forecasts by : Food and Agriculture Organization of the United Nations

Download or read book Review of the available remote sensing tools, products, methodologies and data to improve crop production forecasts written by Food and Agriculture Organization of the United Nations and published by Food & Agriculture Org.. This book was released on 2018-05-31 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: Timely and reliable agricultural production forecasts are critical to make informed food policy decisions and enable rapid responses to emerging food shortfalls. Sub-Saharan Africa is subject to highly variable yield, production and consumption, occasioned by high climate variability, rapidly increasing populations, and limited financial capacity. This review examines the current status of the remote sensing (RS) tools, products, methodologies and data that can help to improve agricultural crop production forecasting systems.

Remote Sensing Application for Precision Agriculture

Author : Matthew McCabe
Publisher : Frontiers Media SA
ISBN 13 : 2832531822
Total Pages : 372 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Remote Sensing Application for Precision Agriculture by : Matthew McCabe

Download or read book Remote Sensing Application for Precision Agriculture written by Matthew McCabe and published by Frontiers Media SA. This book was released on 2023-08-11 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Precision Agriculture for Sustainability

Author : Narendra Khatri
Publisher : CRC Press
ISBN 13 : 1000955540
Total Pages : 527 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Precision Agriculture for Sustainability by : Narendra Khatri

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.

Remote Sensing Applications for Agriculture and Crop Modelling

Author : Piero Toscano
Publisher : MDPI
ISBN 13 : 3039282263
Total Pages : 308 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Remote Sensing Applications for Agriculture and Crop Modelling by : Piero Toscano

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.

Hyperspectral Remote Sensing of Agriculture and Vegetation

Author : Simone Pascucci
Publisher : MDPI
ISBN 13 : 3039439073
Total Pages : 266 pages
Book Rating : 4.0/5 (394 download)

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Book Synopsis Hyperspectral Remote Sensing of Agriculture and Vegetation by : Simone Pascucci

Download or read book Hyperspectral Remote Sensing of Agriculture and Vegetation written by Simone Pascucci and published by MDPI. This book was released on 2021-01-20 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The SAGE Handbook of Remote Sensing

Author : Timothy A Warner
Publisher : SAGE
ISBN 13 : 1446246140
Total Pages : 538 pages
Book Rating : 4.4/5 (462 download)

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Book Synopsis The SAGE Handbook of Remote Sensing by : Timothy A Warner

Download or read book The SAGE Handbook of Remote Sensing written by Timothy A Warner and published by SAGE. This book was released on 2009-06-18 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: ′A magnificent achievement. A who′s who of contemporary remote sensing have produced an engaging, wide-ranging and scholarly review of the field in just one volume′ - Professor Paul Curran, Vice-Chancellor, Bournemouth University Remote Sensing acquires and interprets small or large-scale data about the Earth from a distance. Using a wide range of spatial, spectral, temporal, and radiometric scales Remote Sensing is a large and diverse field for which this Handbook will be the key research reference. Organized in four key sections: • Interactions of Electromagnetic Radiation with the Terrestrial Environment: chapters on Visible, Near-IR and Shortwave IR; Middle IR (3-5 micrometers); Thermal IR ; Microwave • Digital sensors and Image Characteristics: chapters on Sensor Technology; Coarse Spatial Resolution Optical Sensors ; Medium Spatial Resolution Optical Sensors; Fine Spatial Resolution Optical Sensors; Video Imaging and Multispectral Digital Photography; Hyperspectral Sensors; Radar and Passive Microwave Sensors; Lidar • Remote Sensing Analysis - Design and Implementation: chapters on Image Pre-Processing; Ground Data Collection; Integration with GIS; Quantitative Models in Remote Sensing; Validation and accuracy assessment; • Remote Sensing Analysis - Applications: LITHOSPHERIC SCIENCES: chapters on Topography; Geology; Soils; PLANT SCIENCES: Vegetation; Agriculture; HYDROSPHERIC and CRYSOPHERIC SCIENCES: Hydrosphere: Fresh and Ocean Water; Cryosphere; GLOBAL CHANGE AND HUMAN ENVIRONMENTS: Earth Systems; Human Environments & Links to the Social Sciences; Real Time Monitoring Systems and Disaster Management; Land Cover Change Illustrated throughout, an essential resource for the analysis of remotely sensed data, the SAGE Handbook of Remote Sensing provides researchers with a definitive statement of the core concepts and methodologies in the discipline.

Applications of Remote Sensing in Agriculture

Author : M. D. Steven
Publisher : Elsevier
ISBN 13 : 1483161781
Total Pages : 444 pages
Book Rating : 4.4/5 (831 download)

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Book Synopsis Applications of Remote Sensing in Agriculture by : M. D. Steven

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.

Kernel Methods for Remote Sensing Data Analysis

Author : Gustavo Camps-Valls
Publisher : Wiley
ISBN 13 : 9780470722114
Total Pages : 434 pages
Book Rating : 4.7/5 (221 download)

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Book Synopsis Kernel Methods for Remote Sensing Data Analysis by : Gustavo Camps-Valls

Download or read book Kernel Methods for Remote Sensing Data Analysis written by Gustavo Camps-Valls and published by Wiley. This book was released on 2009-12-02 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Kernel methods have long been established as effective techniques in the framework of machine learning and pattern recognition, and have now become the standard approach to many remote sensing applications. With algorithms that combine statistics and geometry, kernel methods have proven successful across many different domains related to the analysis of images of the Earth acquired from airborne and satellite sensors, including natural resource control, detection and monitoring of anthropic infrastructures (e.g. urban areas), agriculture inventorying, disaster prevention and damage assessment, and anomaly and target detection. Presenting the theoretical foundations of kernel methods (KMs) relevant to the remote sensing domain, this book serves as a practical guide to the design and implementation of these methods. Five distinct parts present state-of-the-art research related to remote sensing based on the recent advances in kernel methods, analysing the related methodological and practical challenges: Part I introduces the key concepts of machine learning for remote sensing, and the theoretical and practical foundations of kernel methods. Part II explores supervised image classification including Super Vector Machines (SVMs), kernel discriminant analysis, multi-temporal image classification, target detection with kernels, and Support Vector Data Description (SVDD) algorithms for anomaly detection. Part III looks at semi-supervised classification with transductive SVM approaches for hyperspectral image classification and kernel mean data classification. Part IV examines regression and model inversion, including the concept of a kernel unmixing algorithm for hyperspectral imagery, the theory and methods for quantitative remote sensing inverse problems with kernel-based equations, kernel-based BRDF (Bidirectional Reflectance Distribution Function), and temperature retrieval KMs. Part V deals with kernel-based feature extraction and provides a review of the principles of several multivariate analysis methods and their kernel extensions. This book is aimed at engineers, scientists and researchers involved in remote sensing data processing, and also those working within machine learning and pattern recognition.

Data Science in Agriculture and Natural Resource Management

Author : G. P. Obi Reddy
Publisher : Springer Nature
ISBN 13 : 9811658471
Total Pages : 326 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Data Science in Agriculture and Natural Resource Management by : G. P. Obi Reddy

Download or read book Data Science in Agriculture and Natural Resource Management written by G. P. Obi Reddy and published by Springer Nature. This book was released on 2021-10-11 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to address emerging challenges in the field of agriculture and natural resource management using the principles and applications of data science (DS). The book is organized in three sections, and it has fourteen chapters dealing with specialized areas. The chapters are written by experts sharing their experiences very lucidly through case studies, suitable illustrations and tables. The contents have been designed to fulfil the needs of geospatial, data science, agricultural, natural resources and environmental sciences of traditional universities, agricultural universities, technological universities, research institutes and academic colleges worldwide. It will help the planners, policymakers and extension scientists in planning and sustainable management of agriculture and natural resources. The authors believe that with its uniqueness the book is one of the important efforts in the contemporary cyber-physical systems.

Processing of Remote Sensing Data

Author : ColetteM. Girard
Publisher : Routledge
ISBN 13 : 1351421301
Total Pages : 518 pages
Book Rating : 4.3/5 (514 download)

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Book Synopsis Processing of Remote Sensing Data by : ColetteM. Girard

Download or read book Processing of Remote Sensing Data written by ColetteM. Girard and published by Routledge. This book was released on 2018-04-27 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: Containing useful information sources for the management of natural resources, this comprehensive text covers a large range of spatial resolutions and spectral characteristics. The book deals with the data sources and their physical interpretation, as well as processing techniques, such as visual interpretation and automated classifications, textural and structural processing and photogrammetry. There is a section on accuracy assessment and various applications relating to crops, grasslands, soils, landscapes, mines and coasts. The CD-ROM contains software and image data sets explaining the statistical methods of reference and contains a light version of the TeraVue software enabling the reader to compute the different processing spatial data.

Sensors Application in Agriculture

Author : Dimitrios S. Paraforos
Publisher : MDPI
ISBN 13 : 3039432583
Total Pages : 228 pages
Book Rating : 4.0/5 (394 download)

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Book Synopsis Sensors Application in Agriculture by : Dimitrios S. Paraforos

Download or read book Sensors Application in Agriculture written by Dimitrios S. Paraforos and published by MDPI. This book was released on 2020-11-06 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Information and Communication Technologies for Agriculture—Theme I: Sensors

Author : Dionysis D. Bochtis
Publisher : Springer Nature
ISBN 13 : 3030841448
Total Pages : 331 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Information and Communication Technologies for Agriculture—Theme I: Sensors by : Dionysis D. Bochtis

Download or read book Information and Communication Technologies for Agriculture—Theme I: Sensors written by Dionysis D. Bochtis and published by Springer Nature. This book was released on 2022-04-11 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is the first (I) 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 different aspects of sensors implementation in agricultural production (e.g., types of sensors, parameters monitoring, network types, connectivity, accuracy, reliability, durability, and needs to be covered) and provides variety of information and knowledge in the subject of sensors design, development, and deployment for monitoring agricultural production parameters. The book consists of four (4) Sections. The first section presents an overview on the state-off-the art in sensing technologies applied in agricultural production while the rest of the sections are dedicated to remote sensing, proximal sensing, and wireless sensor networks applications. Topics include: Emerging sensing technologies Soil reflectance spectroscopy LoRa technologies applications in agriculture Wireless sensor networks deployment and applications Combined remote and proximal sensing solutions Crop phenology monitoring Sensors for geophysical properties Combined sensing technologies with geoinformation systems /div