Rapid Damage-Free Robotic Harvesting of Tomatoes (Hardcover, 1st ed. 2021)

This book shares the latest findings on this topic, systematically introduces readers to advances made in robotic harvesting around the globe, and explores the relations between the development of robotic harvesting and the respective social/economic conditions and agricultural business patterns in various countries/regions. Due to the unstructured setting it is used in, and to the significant differences between individual fruit and vegetable targets, robotic harvesting is currently considered to be one of the most challenging robotics technologies. Accordingly, research into this area involves the integration of various aspects, including biomechanics, optimization design, advanced perception and intelligent control. In addition to rapid and damage-free robotic harvesting, which reflects the multidisciplinary nature of the topic, further aspects addressed include gripping collisions with viscoelastic objects, using lasers to cut plant material, plant-fruit response to vacuum sucking and pulling, and performance probability distribution. Highlighting outstanding innovations and reflecting the latest advances in intelligent agricultural equipment in China, the book offers a unique and valuable resource.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Springer Tracts in Mechanical Engineering
Release date:	June 2021
First published:	2021
Authors:	Jizhan Liu • Zhiguo Li • Pingping Li
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	460
Edition:	1st ed. 2021
ISBN-13:	978-981-16-1283-1
Languages:	English
Subtitles:	Chinese
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Professional & Technical > Agriculture & farming > Agricultural engineering & machinery > General Books > Professional & Technical > Agriculture & farming > Crop husbandry > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	981-16-1283-8
Barcode:	9789811612831

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