Programming plantation lines on driverless tractors

TL;DR

This paper presents a fast, geometry-based algorithm implemented in Matlab for automatically generating optimal plantation lines for driverless tractors, improving efficiency in agricultural field planning.

Contribution

The paper introduces a novel linear-time algorithm for plantation line planning, adaptable to various crops, with a compact implementation based on classical geometric principles.

Findings

Algorithm runs in linear time, ensuring efficiency.

Successfully implemented for sugar cane, adaptable to other crops.

Source code is concise, with only 573 lines.

Abstract

Recent advances in Agricultural Engineering include image processing, robotics and geographic information systems (GIS). Some tasks are still accomplished manually, like drawing plantation lines that optimize productivity. Herewith we present an algorithm to find the optimal plantation lines in linear time. The algorithm is based upon classical results of Geometry which enabled a source code with only 573 lines. We have implemented it in Matlab for sugar cane, and it can be easily adapted to other crops like coffee, maize and soy.