001438520 000__ 07564cam\a2200673\i\4500 001438520 001__ 1438520 001438520 003__ OCoLC 001438520 005__ 20230309004309.0 001438520 006__ m\\\\\o\\d\\\\\\\\ 001438520 007__ cr\un\nnnunnun 001438520 008__ 210730s2021\\\\sz\a\\\\ob\\\\001\0\eng\d 001438520 019__ $$a1262371586$$a1284934265 001438520 020__ $$a9783030704001$$q(electronic bk.) 001438520 020__ $$a3030704009$$q(electronic bk.) 001438520 020__ $$z9783030703998 001438520 020__ $$z3030703991 001438520 0247_ $$a10.1007/978-3-030-70400-1$$2doi 001438520 035__ $$aSP(OCoLC)1262190352 001438520 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dN$T$$dOCLCF$$dSFB$$dQGK$$dOCLCQ$$dCOM$$dOCLCO$$dOCLCQ 001438520 049__ $$aISEA 001438520 050_4 $$aS678.65$$b.F86 2021 001438520 08204 $$a631.3$$223 001438520 24500 $$aFundamentals of agriculture and field robotics /$$cManoj Karkee, Qin Zhang, editors. 001438520 264_1 $$aCham :$$bSpringer,$$c[2021] 001438520 264_4 $$c©2021 001438520 300__ $$a1 online resource :$$billustrations (chiefly color) 001438520 336__ $$atext$$btxt$$2rdacontent 001438520 337__ $$acomputer$$bc$$2rdamedia 001438520 338__ $$aonline resource$$bcr$$2rdacarrier 001438520 4901_ $$aAgriculture automation and control 001438520 500__ $$aIncludes index. 001438520 504__ $$aIncludes bibliographical references and index. 001438520 5050_ $$aIntro -- Preface -- Where are We Coming From? -- Organization of the Book -- Summary and Concluding Thoughts -- Contents -- Contributors -- About the Editors -- Chapter 1: Agricultural and Field Robotics: An Introduction -- 1.1 Background -- 1.2 Fundamental Technologies for Agricultural and Field Robotics -- 1.2.1 Sensing and Situation Awareness -- 1.2.2 Intelligent Decision-Making -- 1.3 Challenges and Opportunities -- 1.3.1 Economics: A Critical Dimension -- 1.4 Concluding Thoughts -- References -- Part I: Sensing and Machine Vision 001438520 5058_ $$aChapter 2: Sensors I: Color Imaging and Basics of Image Processing -- 2.1 Introduction -- 2.2 Basics of Color Imaging -- 2.2.1 Color Representation -- 2.2.2 Color Space Conversion -- 2.2.3 Color Comparison -- 2.3 Image Acquisition -- 2.4 Basic Image Processing Operations -- 2.4.1 Image Enhancement -- 2.4.1.1 Histogram -- 2.4.1.2 Morphological Operations -- 2.4.1.3 Low-Pass Filtering -- 2.4.2 Segmentation -- 2.4.2.1 Pixel-Wise Techniques -- 2.4.2.2 Region-Based Segmentation -- 2.4.3 Features of Objects of Interest -- 2.4.4 Hough Transform -- 2.5 Pattern Matching -- 2.6 Things to Consider 001438520 5058_ $$a2.7 Summary and Concluding Thoughts -- References -- Chapter 3: Sensors II: 3D Sensing Techniques and Systems -- 3.1 Introduction -- 3.2 3D Measurement Principles -- 3.2.1 3D from 2D Images -- 3.2.2 3D with Time-of-Flight of Light -- 3.2.3 Structured Light -- 3.3 Stereo-Vision System -- 3.3.1 Introduction -- 3.3.2 Depth Estimation Using Stereo-Vision Camera -- 3.3.3 Camera Calibration -- 3.3.4 Image Correspondence -- 3.3.5 Epipolar Geometry -- 3.3.6 Tools for Stereo-Vision-Based Distance Measurement -- 3.4 Other 3D Measurement Systems -- 3.4.1 Visual Servoing -- 3.4.2 Laser and LIDAR 001438520 5058_ $$a3.4.3 3D Camera -- 3.4.4 Global Navigation Satellite Systems (GNSS) -- 3.4.5 Interferometric Synthetic Aperture RADAR (InSAR) -- 3.4.6 Ultrasonic and Infrared Techniques -- 3.5 Case Studies -- 3.5.1 Crop-Load Estimation in Orchards -- 3.5.2 Robotic Fruit Harvesting -- 3.5.3 Robotic Fruit Tree Pruning -- 3.5.4 Automated Red Raspberry Bundling -- 3.6 Summary and Concluding Thoughts -- References -- Chapter 4: Sensors III: Spectral Sensing and Data Analysis -- 4.1 Introduction -- 4.2 Spectroradiometers -- 4.2.1 Working Principle -- 4.2.2 Spectroradiometer Types -- 4.2.3 Spectral Data Analysis 001438520 5058_ $$a4.2.3.1 Preprocessing -- 4.2.3.2 Spectral Feature Extraction -- 4.2.3.3 Spectral Data Classification/Prediction Models -- 4.2.4 Application Case Studies -- 4.2.4.1 Case Study 1. Biotic and Abiotic Stress Detection in Grapevines -- 4.2.4.2 Case Study 2. Citrus Disease Detection -- 4.2.4.3 Case Study 3. Apple Bitter Pit Disorder Detection -- 4.3 Spectral Imaging -- 4.3.1 Multispectral Imaging -- 4.3.1.1 Imaging Platforms -- 4.3.1.2 Multispectral Imagery Processing -- 4.3.1.3 Multispectral Imaging Applications -- 4.3.2 Hyperspectral Imaging -- 4.3.2.1 Data Analysis Methods 001438520 506__ $$aAccess limited to authorized users. 001438520 520__ $$aOver the past century, mechanization has been an important means for optimizing resource utilization, improving worker health and safety and reducing labor requirements in farming while increasing productivity and quality of 4F (Food, Fuel, Fiber, Feed). Recognizing this contribution, agricultural mechanization was considered as one of the top ten engineering achievements of 20th century by the National Academy of Engineering. Accordingly farming communities have adopted increasing level of automation and robotics to further improve the precision management of crops (including input resources), increase productivity and reduce farm labor beyond what has been possible with conventional mechanization technologies. It is more important than ever to continue to develop and adopt novel automation and robotic solutions into farming so that some of the most complex agricultural tasks, which require huge amount of seasonal labor such as fruit and vegetable harvesting, could be automated while meeting the rapidly increasing need for 4F. In addition, continual innovation in and adoption of agricultural automation and robotic technologies is essential to minimize the use of depleting resources including water, minerals and other chemicals so that sufficient amount of safe and healthy food can be produced for current generation while not compromising the potential for the future generation. This book aims at presenting the fundamental principles of various aspects of automation and robotics as they relate to production agriculture (the branch of agriculture dealing with farming operations from field preparation to seeding, to harvesting and field logistics). The building blocks of agricultural automation and robotics that are discussed in the book include sensing and machine vision, control, guidance, manipulation and end-effector technologies. The fundamentals and operating principles of these technologies are explained with examples from cutting-edge research and development currently going on around the word. This book brings together scientists, engineers, students and professionals working in these and related technologies to present their latest examples of agricultural automation and robotics research, innovation and development while explaining the fundamentals of the technology. The book, therefore, benefits those who wish to develop novel agricultural engineering solutions and/or to adopt them in the future. 001438520 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 6, 2021). 001438520 650_0 $$aAgriculture$$xAutomation. 001438520 650_0 $$aRobotics. 001438520 650_0 $$aAgricultural machinery. 001438520 650_0 $$aAgricultural engineering. 001438520 650_6 $$aAgriculture$$xAutomatisation. 001438520 650_6 $$aRobotique. 001438520 650_6 $$aMachines agricoles. 001438520 650_6 $$aGénie rural. 001438520 655_0 $$aElectronic books. 001438520 7001_ $$aKarkee, Manoj,$$eeditor. 001438520 7001_ $$aZhang, Qin,$$d1956-$$eeditor. 001438520 77608 $$iPrint version:$$z3030703991$$z9783030703998$$w(OCoLC)1235470073 001438520 830_0 $$aAgriculture automation and control. 001438520 852__ $$bebk 001438520 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-70400-1$$zOnline Access$$91397441.1 001438520 909CO $$ooai:library.usi.edu:1438520$$pGLOBAL_SET 001438520 980__ $$aBIB 001438520 980__ $$aEBOOK 001438520 982__ $$aEbook 001438520 983__ $$aOnline 001438520 994__ $$a92$$bISE