Abstract

Smart and precise agriculture has increasingly been developed in the last decade, and with that, the idea of optimizing the tools commonly used in this field. One way to improve these devices, particularly cutting tools conceived for harvesting purposes, is to measure the shear energy consumption required for a particular plant. The aim of this research is to establish both a design criterion for cutting grippers and a quantifiable way to evaluate and classify a harvesting tool for a specific crop. This design criterion could help to minimize energy consumption in future harvesting robots, making them more energy-efficient.

Highlights

  • IntroductionAccording to United Nations projections, the populations could reach 9.7 billion people in 2050 and 11.2 billion by 2100 [1]

  • Process optimization and energy efficiency are continuously improved. These types of improvement processes are rarely implemented in the primary sector, perhaps due to the inherent complexity of natural environments, which are unstructured and highly variable, as in agriculture, for example

  • This article has attempted to address the efficiency of the agricultural sector, and the tasks of fruit harvesting

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Summary

Introduction

According to United Nations projections, the populations could reach 9.7 billion people in 2050 and 11.2 billion by 2100 [1] Due to this situation, the primary sector, and the agricultural sector, must undergo a transformation process that allows it to double productivity to meet the growing demand. Robotics and automation have achieved important advances that can contribute in this regard, including improved adaptation to different environmental conditions and high operating speeds. Aspects such as the reliability and cost of robots have to be solved to profitably introduce these technologies in the agricultural sector [6]. The trend in the agricultural sector is to develop intelligent and efficient machines [7] that can assist humans in tough and mostly repetitive tasks and improve conventional agricultural productivity

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