Unverified paper record
Determining the height of cotton plants (Gossypium hirsutum L.) Malvaceae f. with the assistance of a drone
Brazilian Journal of Science · 26 Mar 2024 · 10.14295/bjs.v3i4.516
Abstract
The use of drones in crop assessment has become increasingly common. The use of drones presents benefits for evaluating the height of plants in various crops, including cotton, checking nutritional, phytosanitary, genetic parameters, abiotic and biotic effects. The objective of this study was to evaluate the use of drones to aid in the evaluation of trials in cotton cultivation. The study was carried out at the Goiano Institute of Agriculture, located in the municipality of Montividiu, State of Goiás, Brazil. A Phantom 4 Pro drone was used to carry out the mapping and WebODM was used to carry out photogrammetry and obtain a digital model of the surface area in the cotton field. In the experimental design, 4 randomized blocks with 10 treatments were used. The results demonstrated that there was no difference between the four blocks for vegetative index. The digital surface model proved to be efficient in detecting possible differences between the analyzed blocks. This analysis is essential to understand variations in response to cotton cultivation in different blocks and identify possible factors that contribute to these differences.
Plant phenotyping relevance
ドローン画像とフォトグラメトリによる綿花の草丈・圃場差の推定が研究の中心であり、植物表現型取得法の実質的な応用に該当する。
abstractThe objective of this study was to evaluate the use of drones to aid in the evaluation of trials in cotton cultivation.
abstractA Phantom 4 Pro drone was used to carry out the mapping and WebODM was used to carry out photogrammetry and obtain a digital model of the surface area in the cotton field.
abstractThe digital surface model proved to be efficient in detecting possible differences between the analyzed blocks.
Code and data availability
The article describes drone-based cotton height phenotyping (Phantom 4 Pro, WebODM, ArcMap, R) but contains no data availability statement, no public repository deposit, no author code/model release, and no supplement with datasets or imagery. Figures are only in-article illustrations; no paper-specific public asset is
No evidence-backed public reproduction asset is currently recorded.
This is an automatically classified, unverified record. Curator approval is required before any resource enters the Catalog.