A Comprehensive Review of Path Planning for Agricultural Ground Robots

Suprava Chakraborty, Devaraj Elangovan, Padma Lakshmi Govindarajan, Mohamed F. ELnaggar, Mohammed M. Alrashed and Salah Kamel
Additional contact information
Suprava Chakraborty: TIFAC-CORE, Vellore Institute of Technology (VIT), Vellore 632014, Tamil Nadu, India
Devaraj Elangovan: TIFAC-CORE, Vellore Institute of Technology (VIT), Vellore 632014, Tamil Nadu, India
Padma Lakshmi Govindarajan: Vellore Institute of Technology (VIT), School of Agricultural Innovations and Advanced Learning, Vellore 632014, Tamil Nadu, India
Mohamed F. ELnaggar: Department of Electrical Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Al-Kharj 16273, Saudi Arabia
Mohammed M. Alrashed: Department of Electrical Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Al-Kharj 16273, Saudi Arabia
Salah Kamel: Department of Electrical Engineering, Aswan University, Aswan 81542, Egypt

Sustainability, 2022, vol. 14, issue 15, 1-19

Abstract: The population of the world is predicted to reach nine billion by 2050, implying that agricultural output must continue to rise. To deal with population expansion, agricultural chores must be mechanized and automated. Over the last decade, ground robots have been developed for a variety of agricultural applications, with autonomous and safe navigation being one of the most difficult hurdles in this development. When a mobile platform moves autonomously, it must perform a variety of tasks, including localization, route planning, motion control, and mapping, which is a critical stage in autonomous operations. This research examines several agricultural applications as well as the path planning approach used. The purpose of this study is to investigate the current literature on path/trajectory planning aspects of ground robots in agriculture using a systematic literature review technique, to contribute to the goal of contributing new information in the field. Coverage route planning appears to be less advanced in agriculture than point-to-point path routing, according to the finding, which is due to the fact that covering activities are usually required for agricultural applications, but precision agriculture necessitates point-to-point navigation. In the recent era, precision agriculture is getting more attention. The conclusion presented here demonstrates that both field coverage and point-to-point navigation have been applied successfully in path planning for agricultural robots.

Keywords: path planning; agriculture; ground robot; automation; algorithms (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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