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An Approach for Digital Farming using Mobile Robot

机译:一种使用移动机器人进行数字农业的方法

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摘要

Farming is the backbone of the Indian economy and it has been unchartered territory for a technological solution. As of late developments in Artificial Intelligence technology combined with Robotics has paved the way for an option of digital farming. As a matter of fact, Indian farming has been facing various challenges that include abrupt change in climatic conditions, spoiling of yields, soil nutrient requirement, pests/weed control and so forth. Robotics and Artificial Intelligence (AI) along with the integration of various sensors ensures the possibility of better outcome. In this work the simulation of Mobile robot for the purpose of seed sowing along with its movement has been presented. The implementation comprises of the Motor schema for the navigation of robot and Gale Shapley (GS) algorithm for stable match of seed and yield combination. Such a robotic system combined with AI in real time will form excellent means of farming in terms of yield.
机译:农业是印度经济的支柱,它一直是技术解决方案的未知领域。随着人工智能技术与机器人技术的最新发展,为数字农业的选择铺平了道路。事实上,印度的农业一直面临着各种挑战,包括气候条件的突然变化,单产变坏,土壤养分需求,病虫害/杂草控制等。机器人和人工智能(AI)以及各种传感器的集成确保了获得更好结果的可能性。在这项工作中,已经提出了以种子播种为目的的移动机器人的仿真及其运动。该实现包括用于机器人导航的Motor模式和Gale Shapley(GS)算法,用于种子和产量组合的稳定匹配。这种实时结合了AI的机器人系统将在产量方面形成出色的耕作方式。

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