Determining leaf nutrient concentrations in citrus trees using UAV imagery and machine learning
Nutrient assessment of plants, a key aspect of agricultural crop management and varietal
development programs, traditionally is time demanding and labor-intensive. This study …
development programs, traditionally is time demanding and labor-intensive. This study …
Non− invasive assessment, classification, and prediction of biophysical parameters using reflectance hyperspectroscopy
Hyperspectral technology offers significant potential for non-invasive monitoring and
prediction of morphological parameters in plants. In this study, UV− VIS− NIR− SWIR …
prediction of morphological parameters in plants. In this study, UV− VIS− NIR− SWIR …
Time-series analysis of MODIS (LST and NDVI) and TRMM rainfall for drought assessment over India
In this study, an attempt has been made using rainfall, LST, and NDVI combination of LSNR
model which is used to infer drought condition in different monsoon period and to predict the …
model which is used to infer drought condition in different monsoon period and to predict the …
Urban tree species identification and carbon stock map** for urban green planning and management
Recently, the severe intensification of atmospheric carbon has highlighted the importance of
urban tree contributions in atmospheric carbon mitigations in city areas considering …
urban tree contributions in atmospheric carbon mitigations in city areas considering …
Modelling climatic trends for the Zambezi and Orange River Basins: implications on water security
Climate change impacts are dependent on changes in air temperature, rainfall (frequency
and amount) and climate indices, which are highly certain. Climate extreme indices are …
and amount) and climate indices, which are highly certain. Climate extreme indices are …
Estimation of direct-seeded guayule cover, crop coefficient, and yield using UAS-based multispectral and RGB data
Abstract Guayule (Parthenium argentatum, A. Gray), a perennial desert shrub, produces
high-quality natural rubber and is targeted as a domestic natural rubber source in the US …
high-quality natural rubber and is targeted as a domestic natural rubber source in the US …
High-throughput phenoty** for non-destructive estimation of soybean fresh biomass using a machine learning model and temporal UAV data
Background 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 …
high and stable soybean yields. More robust genotypes have a better potential for exploiting …
An integrative data-driven approach for monitoring corn biomass under irrigation water and nitrogen levels based on UAV-based imagery
Unmanned aerial vehicle (UAV)-based remote sensing has been widely considered recently
in field scale crop yield estimation. In this research, the capability of 13 spectral indices in …
in field scale crop yield estimation. In this research, the capability of 13 spectral indices in …
Predicting the Optimum Corn Harvest Time via the Quantity of Dry Matter Determined with Vegetation Indices Obtained from Multispectral Field Imaging
J Janoušek, P Marcoň, P Dohnal, V Jambor… - Remote Sensing, 2023 - mdpi.com
Estimating the optimum harvest time and yield embodies an essential food security factor.
Vegetation indices have proven to be an effective tool for widescale in-field plant health …
Vegetation indices have proven to be an effective tool for widescale in-field plant health …
ESTIMATIVA DA PRODUTIVIDADE DE GRÃOS DA AVEIA-BRANCA CULTIVADA SOB NÍVEIS DE IRRIGAÇÃO UTILIZANDO CLOROFILÔMETRO PORTÁTIL …
A utilização de medidas de vegetação indiretas na agricultura, associado à modelos, é uma
forma eficiente de estimar a produtividade das culturas. Objetivou-se verificar a acuracidade …
forma eficiente de estimar a produtividade das culturas. Objetivou-se verificar a acuracidade …