A robotic prototype for spraying and pollinating date palm trees

Amir Shapiro, Eran Korkidi, Amit Rotenberg, Gilad Furst, Harel Namdar, Barak Sapir, Maor Mishkin, Ohad Ben-Shahar, Yael Edan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Spraying and pollinating date palm trees is currently done manually by a team of three workers from a platform lifted 18 meters or more above the ground. This method is extremely unsafe and many accidents have happened due to lack of stability when the platform is in a lifted position. Alternatively, date clusters are occasionally sprayed by a large pressurized sprayer directly from the ground, a method that is highly unselective and environmentally harmful, in this paper we present the concept of an automatic apparatus that can effectively and accurately spray and pollinate date clusters from a robotic apparatus mounted to a standard tractor operated by a single driver. The apparatus consists of a robotic arm and computer controlled sprayer, guided by a computer vision system that detects and localizes date clusters with a camera. This system will minimize risk of injury, significantly save manpower (from three to one person per team), and deliver the spray with maximum accuracy thereby reducing chemical disposure. A small scaled prototype has been built and is currently under preliminary experiments.

Original languageEnglish
Title of host publication2008 Proceedings of the 9th Biennial Conference on Engineering Systems Design and Analysis
Pages431-436
Number of pages6
StatePublished - 21 Sep 2009
Event2008 9th Biennial Conference on Engineering Systems Design and Analysis - Haifa, Israel
Duration: 7 Jul 20089 Jul 2008

Publication series

Name2008 Proceedings of the 9th Biennial Conference on Engineering Systems Design and Analysis
Volume4

Conference

Conference2008 9th Biennial Conference on Engineering Systems Design and Analysis
Country/TerritoryIsrael
CityHaifa
Period7/07/089/07/08

ASJC Scopus subject areas

  • Computational Mechanics
  • Control and Systems Engineering
  • Mechanical Engineering

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