Automated Pruning of Greenhouse Indeterminate Tomato Plants

Joey, Angeja; Zhang, Jane; Liu, Bo

doi:10.1145/3271553.3271569

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…Autonomous robots are utilized for harvesting apples, sweet peppers, cucumbers, strawberries, and tomatoes [5][6][7][8][9][10][11][12][13]. They are also used for pruning tomato plants, apple trees, and grape vines [14][15][16][17][18]. Although they may serve different purposes and have varying hardware structures, autonomous robotic systems must consist of three fundamental modules: vision perception, action point (for cutting or picking) in 3D space, and manipulation.…”

Section: Introductionmentioning

confidence: 99%

“…It is not necessary to reconstruct the entire tree in 3D since it consumes more time and resources. To recognize branches, mask R-CNN [19] was employed with multiple backbones models [14,16,18]. This pruning method is quite successful with fruit trees, but applying the same technique to greenhouse plants such as sweet peppers or tomatoes is challenging.…”

Section: Introductionmentioning

confidence: 99%

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Autonomous Robotic System to Prune Sweet Pepper Leaves Using Semantic Segmentation with Deep Learning and Articulated Manipulator

Giang,

Ryoo

2024

Biomimetics

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This paper proposes an autonomous robotic system to prune sweet pepper leaves using semantic segmentation with deep learning and an articulated manipulator. This system involves three main tasks: the perception of crop parts, the detection of pruning position, and the control of the articulated manipulator. A semantic segmentation neural network is employed to recognize the different parts of the sweet pepper plant, which is then used to create 3D point clouds for detecting the pruning position and the manipulator pose. Eventually, a manipulator robot is controlled to prune the crop part. This article provides a detailed description of the three tasks involved in building the sweet pepper pruning system and how to integrate them. In the experiments, we used a robot arm to manipulate the pruning leaf actions within a certain height range and a depth camera to obtain 3D point clouds. The control program was developed in different modules using various programming languages running on the ROS (Robot Operating System).

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Autonomous Robotic System to Prune Sweet Pepper Leaves Using Semantic Segmentation with Deep Learning and Articulated Manipulator

Giang,

Ryoo

2024

Biomimetics

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Active Perception Fruit Harvesting Robots — A Systematic Review

Magalhães

Moreira

Santos

et al. 2022

J Intell Robot Syst

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Potential of Continuous Electric Current on Biometrical, Physiological and Quality Characteristics of Organic Tomato

et al. 2022

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The tomato is one of the most important species in the food sector. For farmers, the increase in yield in greenhouse conditions by keeping a high quality of fruits represents a goal which is very difficult to achieve in these conditions. Therefore, the present study evaluates the influence that a continuous electric current might have on some biometrical, physiological and quality parameters of tomato fruits. The study was carried out in a greenhouse where tomato plants belonging to Qualitet F1 hybrid were treated with different continuous electric currents, under 5 DC sources, stabilized by the laboratory 0–30 V/0–5 A. During the research, the tomato plants were exposed to different electric current intensities or voltages on the plants or in the soil (T1-0.15 A; T2-0.30 A; T3-0.45 A; T4-1.5 V; T5-1.5 V-soil). The tomato plant samples were compared with an untreated control. In order to determine the influence of a continuous electric current, observations and determinations were made on tomato plants and fruits. The results highlighted significant differences between the treated and not treated plants, regarding the plant height, yield, firmness, acidity, total soluble solids, antioxidant activity, crude and dietary fibres, tannins, oxalates, saponins, α-amylase inhibitors, K, Mg, Fe and Zn content. Depending on the intensity of the electric current and the manner of application, the biometrical, physiological and quality parameters of tomato fruits were differently influenced. Both positive and negative influences were registered. More experiments are needed in order to establish a relation between the electric current intensity and the manner of application which can lead to better and higher tomato yields and quality in greenhouse conditions.

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Automated Pruning of Greenhouse Indeterminate Tomato Plants

Cited by 3 publications

References 9 publications

Autonomous Robotic System to Prune Sweet Pepper Leaves Using Semantic Segmentation with Deep Learning and Articulated Manipulator

Autonomous Robotic System to Prune Sweet Pepper Leaves Using Semantic Segmentation with Deep Learning and Articulated Manipulator

Active Perception Fruit Harvesting Robots — A Systematic Review

Potential of Continuous Electric Current on Biometrical, Physiological and Quality Characteristics of Organic Tomato

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