Towards Smart Farming and Sustainable Agriculture with Drones

TLDR

The use of drones in agriculture is becoming increasingly popular. The paper proposes a novel method to differentiate field plowing techniques using an RGB‑D sensor. The system integrates into commercial UAVs and employs two measurement algorithms to classify plowing techniques. Experimental tests demonstrate accurate classification of plowing depths.

Abstract

The use of drones in agriculture is becoming more and more popular. The paper presents a novel approach to distinguish between different field's plowing techniques by means of an RGB-D sensor. The presented system can be easily integrated in commercially available Unmanned Aerial Vehicles (UAVs). In order to successfully classify the plowing techniques, two different measurement algorithms have been developed. Experimental tests show that the proposed methodology is able to provide a good classification of the field's plowing depths.