Journal
COMPUTERS AND ELECTRONICS IN AGRICULTURE
Volume 177, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.compag.2020.105687
Keywords
Structured light; Time of flight; Active infrared stereo; Infrared image; Depth image
Funding
- China Postdoctoral Science Foundation [2019M663832]
- Fundamental Research Funds for the Central Universities of China [2452020170]
- Key Research and Development Program in Shaanxi Province of China [2018TSCXL-NY-05-04, 2019ZDLNY02-04]
- National Natural Science Foundation of China [31971805]
- International Scientific and Technological Cooperation Foundation of Northwest AF University [A213021803]
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Fruit detection and localization are essential for future agronomic management of fruit crops such as yield prediction, yield mapping and automated harvesting. However, to perform robust and efficient fruit detection and localization in orchard is a challenging task under variable illumination, low-resolutions and heavy occlusion by neighboring fruits, foliage, or branches. Therefore, researches of fruit detection and localization by getting more information of objects are essential. RGB-D (Red, Green, Blue-Depth) cameras are promising sensors and widely used in fruit detection and localization given that they provide depth information and infrared information in addition to RGB information. After presenting a discussion on the advantages and disadvantages of RGB-D cameras with different depth measurement principles and application fields, this paper reviews various types of RGB-D sensor systems and image processing methods used for fruit detection and localization in the field. Finally, major challenges for the successful application of RGB-D camera-based machine vision system, and potential future directions for the research and development in this area are discussed.
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