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Normalized difference vegetation index (NDVI) u cvetanju soje gajene u različitim zemljišnim uslovima / Normalized difference vegetation index (NDVI) in the flowering phase of soybean grown in different soil conditions
(Novi Sad : Univerzitet u Novom Sadu, Poljoprivredni fakultet, 2022)
Zemljište na kojem se usev gaji od velikog je značaja za uspešnu poljoprivrednu proizvodnju. Nepovoljni zemljišni uslovi u pogledu plodnosti, mehaničkog sastava kao i drugih osobina poput sposobnosti retencije vode mogu ...
Normalized difference vegetation index (NDVI) in the flowering phase of soybean grown in different soil conditions
(2022)
The soil on which the crop is grown is of great importance for successful agricultural production. Unfavorable conditions in terms of fertility, mechanical composition, and other soil properties such as the ability to ...
High-throughput phenotyping for temporal screening of soybean canopy cover and height assessed in different environments
(Vienna : University of Natural Resources and Life Sciences (BOKU), 2023)
The combined power of remote sensing and photogrammetry can be used to assess significant information about plant development. The canopy cover (CC) and height (HT) are important for defining the growth patterns of the ...
High-throughput phenotyping for non-destructive estimation of soybean fresh biomass using a machine learning model and temporal UAV data
(Springer Nature, 2023)
Biomass accumulation as a growth indicator can be significant in achieving high and stable soybean yields. More robust genotypes have a better potential for exploiting available resources such as water or sunlight. Biomass ...
Prediction of Soybean Plant Density Using a Machine Learning Model and Vegetation Indices Extracted from RGB Images Taken with a UAV
(Basel : MDPI, 2020)
Soybean plant density is an important factor of successful agricultural production. Due to the high number of plants per unit area, early plant overlapping and eventual plant loss, the estimation of soybean plant density ...