Robotics in A 46 . Robotics in Agriculture and Forestry
نویسندگان
چکیده
In agriculture and forestry, robotics has made a substantial impact. Farmers are conscious of their need for automatic vehicle guidance to minimize damage to the growing zone of their soil. Automatic sensing, handling, and processing of produce are now commonplace, while there is substantial instrumentation and mechanization of livestock procedures. In forestry, legged harvesters have not yet seen great success in their application, but the automation of trimming and forwarding with simultaneous localization and mapping techniques will change the industry in the future. Some impressive developments in walking forestry harvesters are presented, including machines targeted towards the difficult terrain of the Scandinavian forests. More-conventional cut-tolength harvesters are also highly automated, while operations such as delimbing must be carried out at speed. Before complete autonomous harvesting becomes possible, some of the localization and mapping techniques that are described must come to fruition. The combination of machine vision with global positioning by satellite (GPS) allows a tractor to follow a row of crops, performing a headland turn at the end of the row. The history of a series of projects is outlined, leading to the present outcome that is in the process of being commercialized. Another project that is based on machine vision relates to the location of macadamia nuts. To select which trees should be propagated, it is necessary to attribute fallen nuts to the correct tree. Color sorting and grading of produce is not a matter of sensing alone, but involves a measure of produce handling that puts it at the fringe of robotics. Automated milking parlours have proved their worth. However success has eluded some other projects described here, such as automated sheepshearing and an automated abattoir. Another project is presented that literally sorts the sheep 46.1 Definitions ........................................... 1066 46.1.1 Technological Developments......... 1066 46.2 Forestry ............................................... 1066 46.2.1 Overview .................................... 1066 46.2.2 Robot Locomotion in Forestry ....... 1067 46.2.3 Forestry Automation .................... 1068 46.2.4 Machine Perception and SLAM in the Forest Environment ............ 1068 46.2.5 Autonomy, Teleoperation, and Fleet Management ................ 1069 46.2.6 Autonomous Robots for Silviculture and Treatment ...... 1069 46.2.7 Forestry Conclusions .................... 1070 46.3 Broad Acre Applications ........................ 1070 46.3.1 An Overview of Automatic Guidance ................ 1070 46.3.2 Sowing, Weeding, Spraying, and Broad-Acre Harvesting .......... 1071 46.4 Horticulture ......................................... 1071 46.4.1 Picking of Fruit and Vegetables ..... 1071 46.4.2 Color Sorting and Produce Grading ................... 1072 46.5 Livestock.............................................. 1072 46.5.1 Robot Milking ............................. 1072 46.5.2 Sheep Shearing ........................... 1073 46.5.3 Slaughtering ............................... 1073 46.5.4 Livestock Inspection .................... 1074 46.5.5 Robotic Animals .......................... 1074 46.6 Unmanned Vehicles .............................. 1075 46.7 Conclusions and Future Directions .......... 1075 References .................................................. 1075
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1 Department of Software Engineering and Artificial Intelligence, Faculty of Informatics, University Complutense of Madrid, 28040 Madrid, Spain; E-Mail: [email protected]; Tel.: +34-1-394-7546; Fax: +34-1-394-7547 2 Department of Agriculture, Food and Environment, University of Pisa, Via S. Michele degli Scalzi 2, 56124 Pisa, Italy; E-Mail: [email protected]; Tel.: +39-050-221-8942; Fax: +39...
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