Remote field monitoring results feasibility assessment for energy crops yield management
نویسندگان
چکیده
Most vegetation indices for UAV data analysis are developed low-resolution satellite platforms, which requires the use of other monitoring methods and agrochemical measures to accurately determine state plantations, considering different stages spectral characteristics. The research aims develop a methodology assessing suitability remote sensing energy crop nutrition management. study was conducted using winter crops, including wheat rapeseed. results period from 2017 2020 were analysed. Stresses associated with nutrient deficiencies studied in fields long-term stationary experiments at National University Life Environmental Sciences Ukraine. obtained Slantrange sensor Slantview software used. studies confirmed that pixel distribution images plantations (wheat rape) can be described by Gaussian distribution. coefficient determination higher than rape due peculiarities plant leaf structure. For rapeseed, found lognormal distribution, is not convenient automating fertilisation processes precision farming technologies. channels, particular presence several maxima, may indicate foreign inclusions or transitional vegetation, makes such unsuitable It has been established if, after soil filtration, maximum amplitude exceeds nearest one more 3 times, growing season considered stable area, reliable further GNDVI RNDVI effective reliability based on standard deviation Reference values stations controlled stress factors, will help management
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ژورنال
عنوان ژورنال: Machinery & energetics
سال: 2023
ISSN: ['2663-1342', '2663-1334']
DOI: https://doi.org/10.31548/machinery/2.2023.46