The use of the data derived from the PlanetScope satellite and unmanned aerial vehicles to estimate crop yield as dependent on the amount of nitrogen fertilizer applied

Abstract

Abstract The purpose of the present study is to show the usefulness of the satellite data and the data derived from unmanned aerial vehicles (UAVs) for estimating the relationship between cereal grain crop yield and the amount of nitrogen fertilizer applied. The study was conducted on the land of the Kuraginskoye Research Farm. The study material was spring barley cv. Biom. Three test plots were studied; mineral fertilizer, urea, was used in different quantities for foliar application in June; applications were performed at equal intervals. Multispectral images were based on PlanetScope satellite data, with the 3 m spatial resolution, and the data derived from the DJI Phantom 4 Multispectral UAV, with the 10 cm resolution. The satellite and UAV data were used to calculate spectral vegetation index (NDVI) (Normalized Difference Vegetation Index). A high correlation was obtained between the NDVI values calculated using satellite data and UAV data. The satellite data provided the basis for assessing barley crop yield as dependent on the amount of foliar-applied urea during the growing season. Maps of the spatial distribution of barley NDVI were constructed using the Phantom UAV data; they showed that the third foliar application of the fertilizer was not economically justified.

Plant phenotyping relevance

衛星・UAV画像からNDVIを算出し、作物収量を推定するセンシング手法の有用性と一致性を検討しており、施肥試験の単なる routine 測定を超えて手法適用が中心です。

Code and data availability

The paper describes PlanetScope satellite and DJI Phantom 4 UAV multispectral data used to compute NDVI and estimate barley yield, but contains no data availability statement, no public repository deposit, no author code/model release, and no supplementary dataset. No paper-specific public asset is identified.

No evidence-backed public reproduction asset is currently recorded.