Results 31 to 40 of about 5,054,025 (372)
Remote Sensing, 2022 Precise localization of occluded fruits is crucial and challenging for robotic harvesting in orchards. Occlusions from leaves, branches, and other fruits make the point cloud acquired from Red Green Blue Depth (RGBD) cameras incomplete.
Tao Li +4 more
doaj +2 more sources
BLOB Analysis for Fruit Recognition and Detection
Computer Engineering and Applications Journal, 2018 Robot application in agriculture can ease the farming process, especially as the harvesting robot for seasonal fruit that is available in a short time. The addition of "eye" as the image sensor is an important feature for a harvesting robot. Thanks to the increment of technology, the camera is getting smaller with better performance, and lower prices ...
Muhammad Dede Yusuf +4 more
openalex +3 more sources
Easy domain adaptation method for filling the species gap in deep learning-based fruit detection. [PDF]
Hortic Res, 2021 Zhang W, Chen K, Wang J, Shi Y, Guo W.
europepmc +2 more sources
Fruit Quality Detection and Gradation [PDF]
International Journal of Scientific Research in Science and Technology, 2021 Grading and classification of fruits is based on observations and through experiences. The system exerts image- processing techniques for classification and grading the quality of fruits. Two-dimensional fruit images are classified on shape and color-based analysis methods.
N. N. Khalsa +2 more
openaire +1 more source
Foods, 2022 Bruising is one of the main problems in the post-harvest grading and processing of ‘Zaozhong 6’ loquats, reducing the economic value of loquats, and even food quality and safety problems are caused by it.
Bin Li +4 more
doaj +1 more source
Research on anthracnose grade of Camellia oleifera based on the combined LIBS and THz technology
Plant Methods, 2022 Background Anthracnose of Camellia oleifera is a very destructive disease that commonly occurs in the Camellia oleifera industry, which severely restricts the development of the Camellia oleifera industry.
Li Bin +6 more
doaj +1 more source
Deep fruit detection in orchards [PDF]
2017 IEEE International Conference on Robotics and Automation (ICRA), 2017 An accurate and reliable image based fruit detection system is critical for supporting higher level agriculture tasks such as yield mapping and robotic harvesting. This paper presents the use of a state-of-the-art object detection framework, Faster R-CNN, in the context of fruit detection in orchards, including mangoes, almonds and apples.
James Underwood, Suchet Bargoti
openaire +3 more sources
Journal of Analytical Science and Technology, 2022 To deduce the process of bruise and reduce the number of bruised fruits from the source, the storage time of yellow peaches after bruise should be identified.
Bin Li +6 more
doaj +1 more source
Yield Estimation Method of Apple Tree Based on Improved Lightweight YOLOv5
智慧农业, 2021 Yield estimation of fruit tree is one of the important works in orchard management. In order to improve the accuracy of in-situ yield estimation of apple trees in orchard, a method for the yield estimation of single apple tree, which includes an improved
LI Zhijun +4 more
doaj +1 more source
Identification of different parts of Panax notoginseng based on terahertz spectroscopy
Journal of Analytical Science and Technology, 2022 In this paper, the combined terahertz time-domain spectroscopy (THz-TDS) and chemometrics method is proposed to identify four different parts of Panax notoginseng rapidly and nondestructively.
Li Bin +4 more
doaj +1 more source