Robotic harvesting of the occluded fruits with a precise shape and position reconstruction approach

2021 ◽  
Author(s):  
Liang Gong ◽  
Wenjie Wang ◽  
Tao Wang ◽  
Chengliang Liu
Keyword(s):  
Precise Shape ◽  
Position Reconstruction ◽  
Robotic Harvesting

A MODIFIED MULTIPHASE LEVEL SET EVOLUTION SCHEME FOR AERIAL IMAGE SEGMENTATION

2007 ◽  
Vol 21 (07) ◽  
pp. 1195-1212 ◽  
Author(s):  
WANG WEI ◽  
YANG XIN
Keyword(s):  
Level Set ◽  
Geometric Analysis ◽  
Aerial Images ◽  
Contourlet Transform ◽  
Aerial Image ◽  
Global Features ◽  
Precise Shape ◽  
Level Set Evolution ◽  
Weighting Coefficients ◽  
Evolution Scheme

This paper describes an innovative aerial images segmentation algorithm. The algorithm is based upon the knowledge of image multiscale geometric analysis using contourlet transform, which can extract the image's intrinsic geometrical structure efficiently. The contourlet transform is introduced to represent the most distinguished and the rotation invariant features of the image. A modified Mumford–Shah model is applied to segment the aerial image by a multifeature level set evolution. To avoid possible local minima in the level set evolution, we adjust the weighting coefficients of the multiscale features in different evolution periods, i.e. the global features have bigger weighting coefficients at the beginning stages which roughly define the shape of the contour, then bigger weighting coefficients are assigned to the detailed features for segmenting the precise shape. When the algorithm is applied to segment the aerial images with several classes, satisfied experimental results are achieved by the proposed method.

scholarly journals End-effector for robotic harvesting of a tomato fruit with calyx

2019 ◽  
Vol 24 ◽  
pp. 544-547
Author(s):  
Bingh Li ◽  
Shinsuke Yasukawa ◽  
Takuya Fujinaga ◽  
Kazuo Ishii
Keyword(s):  
Tomato Fruit ◽  
End Effector ◽  
Robotic Harvesting

Piezoelectric polymers actuators for precise shape control of large scale space antennas

2007 ◽  
Author(s):  
Qin Chen ◽  
Don Natale ◽  
Bret Neese ◽  
Kailiang Ren ◽  
Minren Lin ◽  
...  
Keyword(s):  
Shape Control ◽  
Large Scale ◽  
Scale Space ◽  
Piezoelectric Polymers ◽  
Space Antennas ◽  
Precise Shape

Harvest and postharvest factors.

2021 ◽  
pp. 268-290
Author(s):  
Lynette Morgan
Keyword(s):  
Food Safety ◽  
Agricultural Practices ◽  
Greenhouse Crops ◽  
Postharvest Handling ◽  
Fresh Cut ◽  
Safety Systems ◽  
Harvest Maturity ◽  
And Storage ◽  
Robotic Harvesting

Abstract This chapter discusses harvest and postharvest factors. Harvesting involves the gathering or removal of a mature crop, with minimum damage and losses, from where it has been grown and transporting it on either for direct consumption or into the postharvest handling chain for further storage and distribution. Determination of harvest maturity, hand harvesting, robotic harvesting of greenhouse crops, postharvest handling, grading and storage, fresh-cut salad processing, shelf-life evaluation, packaging, postharvest cooling, postharvest handling damage, GAP - Good Agricultural practices in Postharvest Handling, postharvest storage, postharvest disorders, food safety and hygiene, ready-to-eat, minimally processed produce, certification and food safety systems, and postharvest developments are also discussed.

Advances in soilless culture strawberry production

2021 ◽  
pp. 381-400
Author(s):  
Mike Nichols ◽  
Keyword(s):  
Popular Media ◽  
Soilless Culture ◽  
Plant Environment ◽  
Future Production ◽  
Solid Media ◽  
The World ◽  
Media Systems ◽  
Viable System ◽  
Harvesting Costs ◽  
Robotic Harvesting

The majority of strawberries produced in the world are grown in the open field, and only in the past 50 years has protected cropping become established as a commercially viable system. Soilless culture (hydroponics) is an important component of this form of intensive production because it enables the strawberry crop to be grown above the ground (table top system) which can provides an improved root environment, nutrition and irrigation and at the same time easier fruit harvesting. Solid media systems predominate over liquid based systems with peat and coir being the most popular media. Future production appears to be increasingly towards year round production by the improved control of the plant environment, combined with reducing harvesting costs by robotic harvesting.

Angle and speed determination of slide rail to convey hydroponic lettuce for robotic harvesting

2020 ◽  
Author(s):  
Wenqi Wang ◽  
Yidong Ma ◽  
Zhenzhen Song ◽  
Yingtao Qu ◽  
Rui Li ◽  
...  
Keyword(s):  
Robotic Harvesting

scholarly journals Investigation of Optimal Network Architecture for Asparagus Spear Detection in Robotic Harvesting

2019 ◽  
Vol 52 (30) ◽  
pp. 283-287 ◽  
Author(s):  
M. Peebles ◽  
S.H. Lim ◽  
M. Duke ◽  
B. McGuinness
Keyword(s):  
Network Architecture ◽  
Optimal Network ◽  
Robotic Harvesting

Overview of Sensor Technologies Used for 3D Localization of Asparagus Spears for Robotic Harvesting

2018 ◽  
Vol 884 ◽  
pp. 77-85 ◽  
Author(s):  
Matthew Peebles ◽  
Shen Hin Lim ◽  
Mike Duke ◽  
Chi Kit Au
Keyword(s):  
Response Times ◽  
Time Of Flight ◽  
High Sensitivity ◽  
Microsoft Kinect ◽  
Robust Detection ◽  
Ambient Lighting ◽  
General Decline ◽  
Detection And Localization ◽  
Robotic Harvesting ◽  
Detection Technologies

Advances in agricultural automation, coupled with a general decline of available labour hasgenerated interest in automated harvesting of various crops. Paramount to the success of such systemsis the development of accurate, robust detection technologies and localization strategies. This paperpresents an overview of sensor technologies used in the detection and localization of green aspara-gus spears for robotic harvesting. Tactile, photoelectric, machine vision and time-of-flight sensors areinvestigated and their applicability for use in robotic asparagus harvesting is evaluated. Investigationof previous asparagus harvesting devices has revealed that no such device has yet achieved commer-cial viability. It was identified that this is likely due to weaknesses in currently employed detectiontechnologies, namely slow response times, high sensitivity to changes in ambient lighting conditionsand requirement for frequent manual calibration. Of the sensor technologies investigated it was foundthat time-of-flight cameras, such as the Microsoft Kinect V2 are the most feasible for the detectionof asparagus spears for robotic harvesting. It was concluded that further research would be conductedinto the application of such sensors into a commercially viable harvester.

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