Conceptualization of Uav Based Waypoint Generation for Precision Horticulture

Y. Turkar, C. Aluckal, Y. Dighe, S. Deshpande, Y. Agarwadkar
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Abstract

In the recent past, precision agriculture has proven to be an effective means for farmers to optimize productions by reducing efforts and losses. Usage of UAV has proven to be beneficial for large scale agriculture. The applications of UAV in small scale agriculture and horticulture has certain limitations due to the scale and elevation variations. The current paper aims at conceptualizing a novel remote sensing-based framework for optimizing spraying locations and heights for horticulture. The data used constitutes of DEM and visual images captured from UAV platform. The paper also covers a small use-case for coconut tree plantation for implementation and validation. The results suggest that implementation of such algorithm may help in reducing wastage of spraying chemicals and in-turn will reduce adverse environmental impacts of spraying. Further integrating current work with UAV systems for optimization of path will improve UAV efficiency.
基于无人机的精准园艺航路点生成概念
在最近的过去,精准农业已被证明是农民通过减少努力和损失来优化生产的有效手段。事实证明,无人机的使用对大规模农业是有益的。无人机在小规模农业和园艺领域的应用受到尺度和高程变化的限制。本文旨在构想一种新的基于遥感的框架,用于优化园艺的喷洒位置和高度。使用的数据由DEM和从无人机平台捕获的视觉图像组成。本文还介绍了一个用于实现和验证椰子树种植园的小用例。结果表明,该算法的实施有助于减少喷洒化学品的浪费,从而减少喷洒对环境的不良影响。进一步将当前工作与无人机系统相结合进行路径优化将提高无人机的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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