Monitoring Onion Crop 'Cipolla Rossa di Tropea Calabria IGP' Growth and Yield Response to Varying Nitrogen Fertilizer Application Rates Using UAV Imagery
| Autor: | Salvatore Praticò, Giuseppe Badagliacca, Salvatore Di Fazio, Giuseppe Modica, Gaetano Messina, Michele Monti |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
Tropea red onion Randomized block design Aerospace Engineering chemistry.chemical_element 01 natural sciences Crop Nutrient Artificial Intelligence Yield (wine) multiresolution segmentation Soil properties Motor vehicles. Aeronautics. Astronautics Mathematics TL1-4050 04 agricultural and veterinary sciences precision agriculture (PA) Nitrogen soil-adjusted vegetation index (SAVI) Computer Science Applications Nitrogen fertilizer chemistry Agronomy Control and Systems Engineering 040103 agronomy & agriculture 0401 agriculture forestry and fisheries multispectral (MS) imagery Precision agriculture geographic object-based image analysis (GEOBIA) 010606 plant biology & botany Information Systems |
| Zdroj: | Drones Volume 5 Issue 3 Drones, Vol 5, Iss 61, p 61 (2021) |
| ISSN: | 2504-446X |
| DOI: | 10.3390/drones5030061 |
| Popis: | Remote sensing (RS) platforms such as unmanned aerial vehicles (UAVs) represent an essential source of information in precision agriculture (PA) as they are able to provide images on a daily basis and at a very high resolution. In this framework, this study aims to identify the optimal level of nitrogen (N)-based nutrients for improved productivity in an onion field of “Cipolla Rossa di Tropea” (Tropea red onion). Following an experiment that involved the arrangement of nine plots in the onion field in a randomized complete block design (RCBD), with three replications, three different levels of N fertilization were compared: N150 (150 kg N ha−1), N180 (180 kg N ha−1), and e N210 (210 kg N ha−1). The crop cycle was monitored using multispectral (MS) UAV imagery, producing vigor maps and taking into account the yield of data. The soil-adjusted vegetation index (SAVI) was used to monitor the vigor of the crop. In addition, the coverage’s class onion was spatially identified using geographical object-based image classification (GEOBIA), observing differences in SAVI values obtained in plots subjected to differentiated N fertilizer treatment. The information retrieved from the analysis of soil properties (electrical conductivity, ammonium and nitrate nitrogen), yield performance and mean SAVI index data from each field plot showed significant relationships between the different indicators investigated. A higher onion yield was evident in plot N180, in which SAVI values were higher based on the production data. |
| Databáze: | OpenAIRE |
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