Automatic segmentation of trees in dynamic outdoor environments

Tabb, Amy; Medeiros, Henry

doi:10.1016/j.compind.2018.03.002

Cited by 16 publications

(11 citation statements)

References 20 publications

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“…Tabb and her collaborator focused on developing a 3D reconstruction of fruit trees ( Figure 6, reproduced from [69]) for automatic pruning with identifying the branch parameters such as length, diameter, angle, etc. [69,70,87]. Based on the studies above on the tree branch pruning, the accuracy of branch detection and identification, the efficiency of branch reconstruction as well as the cost of the system would be critical for the success of the robotic tree branch pruning system.…”

Section: Branch Detection/reconstruction For Automated Pruningmentioning

confidence: 99%

Sensing and Automation in Pruning of Apple Trees: A Review

Schupp

2018

Agronomy

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Pruning is one of the most important tree fruit production activities, which is highly dependent on human labor. Skilled labor is in short supply, and the increasing cost of labor is becoming a big issue for the tree fruit industry. Meanwhile, worker safety is another issue in the manual pruning. Growers are motivated to seek mechanical or robotic solutions for reducing the amount of hand labor required for pruning. Identifying tree branches/canopies with sensors as well as automated operating pruning activity are the important components in the automated pruning system. This paper reviews the research and development of sensing and automated systems for branch pruning in apple production. Tree training systems, pruning strategies, 3D structure reconstruction of tree branches, and practice mechanisms or robotics are some of the developments that need to be addressed for an effective tree branch pruning system. Our study summarizes the potential opportunities for automatic pruning with machine-friendly modern tree architectures, previous studies on sensor development, and efforts to develop and deploy mechanical/robotic systems for automated branch pruning. We also describe two examples of qualified pruning strategies that could potentially simplify the automated pruning decision and pruning end-effector design. Finally, the limitations of current pruning technologies and other challenges for automated branch pruning are described, and possible solutions are discussed.

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Section: Branch Detection/reconstruction For Automated Pruningmentioning

confidence: 99%

Sensing and Automation in Pruning of Apple Trees: A Review

Schupp

2018

Agronomy

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“…Lidar sensor/ToF sensor 3D sensing (Stereo camera; Kinect; 3D camera) RGB/RGBD cameras Medeiros et al (2017); Chattopahdyay et at., Karkee et al, 2014Tabb et al, 2018;Elfiky et al, 2015Akbar et al, 2016aAkbar et al, 2016b Lidar based machine vision systems have been mainly used for biomass mapping or individual tree detection, especially for the forest application (Brandtberg et al, 2003;Edson and Wing, 2011;Van Aardt et al, 2008). Recently, Li et al (2017) proposed an adaptive extracting method of tree skeleton based on the point cloud data with a terrestrial laser scanner, and obtained consistent tree structure.…”

Section: Machine Vision Sensing For Branch Detection and Identificationmentioning

confidence: 99%

Sensing and Automation in Pruning of Tree Fruit Crops: A Review

Schupp¹

2018

Preprint

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Pruning is one of the most important tree fruit production activities, which is highly dependent on human labor. Skilled labor is in short supply, and the increasing cost of labor is becoming a big issue for the tree fruit industry. Growers are motivated to seek mechanical or robotic solutions for reducing the amount of hand labor required for pruning. This paper reviews the research and development of sensing and automated systems for branch pruning for tree fruit production. Horticultural advancements, pruning strategies, 3D structure reconstruction of tree branches, as well as practice mechanisms or robotics are some of the developments that need to be addressed for an effective tree branch pruning system. Our study summarizes the potential opportunities for automatic pruning with machine-friendly modern tree architectures, previous studies on sensor development, and efforts to develop and deploy mechanical/robotic systems for automated branch pruning. We also describe two examples of qualified pruning strategies that could potentially simplify the automated pruning decision and pruning end-effector design.  Finally, the limitations of current pruning technologies and other challenges for automated branch pruning are described, and possible solutions are discussed.

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“…thinning assessment, spraying, disease detection and yield estimation and prediction) throughout the whole fruit-trees growing cycle. Each monitoring method has its own pros and cons, depending on the application scenarios (Table 1) (Shakoor et al 2017;Tabb & Medeiros, 2018). Although tedious, visual assessment of a limited number of trees, is the basis of a relatively accurate management strategy that depends on manual efforts to achieve the assessments (Sarron et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Orchard management with small unmanned aerial vehicles: a survey of sensing and analysis approaches

et al. 2021

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Advances in sensor miniaturization are increasing the global popularity of unmanned aerial vehicle (UAV)-based remote sensing applications in many domains of agriculture. Fruit orchards (the source of the fruit industry chain) require site-specific or even individual-tree-specific management throughout the growing season—from flowering, fruitlet development, ripening, and harvest—to tree dormancy. The recent increase in research on deploying UAV in orchard management has yielded new insights but challenges relating to determining the optimal approach (e.g., image-processing methods) are hampering widespread adoption, largely because there is no standard workflow for the application of UAVs in orchard management. This paper provides a comprehensive literature review focused on UAV-based orchard management: the survey includes achievements to date and shortcomings to be addressed. Sensing system architecture focusing on UAVs and sensors is summarized. Then up-to-date applications supported by UAVs in orchard management are described, focusing on the diversity of data-processing techniques, including monitoring efficiency and accuracy. With the goal of identifying the gaps and examining the opportunities for UAV-based orchard management, this study also discusses the performance of emerging technologies and compare similar research providing technical and comprehensive support for the further exploitation of UAVs and a revolution in orchard management.

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Automatic segmentation of trees in dynamic outdoor environments

Cited by 16 publications

References 20 publications

Sensing and Automation in Pruning of Apple Trees: A Review

Sensing and Automation in Pruning of Apple Trees: A Review

Sensing and Automation in Pruning of Tree Fruit Crops: A Review

Orchard management with small unmanned aerial vehicles: a survey of sensing and analysis approaches

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