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1. A methodology of orchard architecture design for an optimal harvesting robot

Author:
Bloch, Victor; Degani, Amir; Bechar, Avital
Source:
Biosystems engineering 2018 v.166 pp. 126-137
ISSN:
1537-5110
Subject:
harvesting,   etc   ; apples; kinematics; models; orchards; robots; trees; working conditions;     Show all 8 Subjects
Abstract:
... To improve robot performance for agricultural tasks, and decrease its cost, the robot can be optimally designed for a specific task in a specific working environment. However, since the environment defines the robot optimal kinematics, the environment itself should also be optimised for optimal robot performance. The objective of this paper is to present and demonstrate a methodology for simultane ...
DOI:
10.1016/j.biosystemseng.2017.11.006

2. Comparative study of mechanical damage caused by a two-finger tomato gripper with different robotic grasping patterns for harvesting robots

Author:
Zhang, Baohua; Zhou, Jun; Meng, Yimeng; Zhang, Na; Gu, Baoxing; Yan, Zhenghong; Idris, Sunusi Idris
Source:
Biosystems engineering 2018 v.171 pp. 245-257
ISSN:
1537-5110
Subject:
harvesting,   etc   ; aggression; correlation; fruiting bodies; fruits; labor; mechanical damage; models; plastic deformation; robots; tomatoes; viscoelasticity;     Show all 12 Subjects
Abstract:
... The fragile structure of the tomato fruit body leads to susceptibility to bruising caused by the aggressiveness of harvest and postharvest processes. Thus, grasping without damaging the tomato fruits is a key barrier to the replacement of manual labour by robotic harvesting. In this study, a four-element Burger model was used to express reversible viscoelastic behaviour and deformation characteris ...
DOI:
10.1016/j.biosystemseng.2018.05.003

3. Detection of passion fruits and maturity classification using Red-Green-Blue Depth images

Author:
Tu, Shuqin; Xue, Yueju; Zheng, Chan; Qi, Yu; Wan, Hua; Mao, Liang
Source:
Biosystems engineering 2018 v.175 pp. 156-167
ISSN:
1537-5110
Subject:
harvesting,   etc   ; color; computer vision; data collection; fruit maturity; fruits; neural networks; passion fruits; robots; support vector machines; yield mapping;     Show all 11 Subjects
Abstract:
... A machine vision algorithm was developed to detect passion fruits and identify maturity of the detected fruits using natural outdoor RGB-D images. As different passion fruits on the same branch can be in different maturity stages, detection and maturity classification on a complex background are very important for yield mapping and development of intelligent mobile fruit-picking robots. In this st ...
DOI:
10.1016/j.biosystemseng.2018.09.004

4. Statistical models for fruit detectability: spatial and temporal analyses of sweet peppers

Author:
Kurtser, Polina; Edan, Yael
Source:
Biosystems engineering 2018 v.171 pp. 272-289
ISSN:
1537-5110
Subject:
harvesting,   etc   ; Capsicum annuum; data collection; databases; descriptive statistics; fruits; greenhouses; image analysis; information processing; lighting; prediction; protocols; robots; spatial distribution; statistical analysis; statistical models; sweet peppers; temporal variation;     Show all 18 Subjects
Abstract:
... Statistical models for fruit detectability were developed to provide insights into preferable variable configurations for better robotic harvesting performance.The methodology includes several steps: definition of controllable and measurable variables, data acquisition protocol design, data processing, definition of performance measures and statistical modelling procedures. Given the controllable ...
DOI:
10.1016/j.biosystemseng.2018.04.017