Mapping Gaps in Sugarcane Fields Using UAV-RTK Platform

Abstract

Unmanned aerial vehicles (UAVs) equipped with a global real-time kinematic navigation satellite system (GNSS RTK) could be a state-of-the-art solution to measuring gaps in sugarcane fields and enable site-specific management. Recent studies recommend the use of UAVs to map these gaps. However, low-accuracy GNSS provides incomplete or inaccurate photogrammetric reconstructions, which could easily generate an error in the gap measurement and constrain the applicability of these techniques. Therefore, in this study, we evaluated the potential of UAV RTK imagery for mapping gaps in sugarcane. To compare this solution with conventional UAV approaches, the precision and accuracy of RTK and non-RTK flights were evaluated. To increase the robustness of the research, flights were performed to map gaps found naturally in the field and with plants at different stages of development. Our results showed that the lengths of gaps identified by both RTK and non-RTK UAV imagery were similar, with differences in precision and accuracy of about 1% for both systems. In contrast, RTK was much more efficient and provides stakeholders with guidelines for accurate and precise mapping gaps, allowing them to make confident decisions on site-specific management.

Plant phenotyping relevance

サトウキビ圃場の植生ギャップをUAV-RTK画像で抽出・測定し、RTKと非RTKの精度・正確度を比較検証しており、植物状態の取得手法が研究の中心である。

Code and data availability

The paper's UAV-RTK sugarcane gap imagery, field gap measurements, and analysis outputs are not publicly deposited; the Data Availability Statement says they are available only on request from the corresponding author. No public repository, code URL, or dataset link is provided (FIELDimageR is a cited third-party R包, a

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