A timely and accurate crop yield forecast is crucial to make better decisions on crop management, marketing, and storage by assessing ahead and implementing based on expected crop performance. The objective of this study was to investigate the potential of high-resolution satellite imagery data collected at mid-growing season for identification of within-field variability and to forecast corn y...

the drought caused a series of effects on many sectors of economy, especially natural resources. during two last decades, iran has suffered from several severe to extreme agricultural droughts which caused significant decreases in rangeland and agriculture yields. this paper discusses the detection of agricultural drought severity over the rangelands of markazi province between 2000 and 2014 us...

Abstract The vegetation of the Galapagos Islands (Ecuador) is strongly influenced by climate. El Niño events, seasonality, isolation, volcanism, and increasing human activity define ecosystems archipelago. Given their socio-cultural economic importance, it critical to monitor response changes in climate assess its vulnerability. This study explores potential use Normalized Difference Vegetation...

Timely and cost-effective crop yield prediction is vital in management decision-making. This study evaluates the efficacy of Unmanned Aerial Vehicle (UAV)-based Vegetation Indices (VIs) coupled with Machine Learning (ML) models for corn (Zea mays) at vegetative (V6) reproductive (R5) growth stages using a limited number training samples farm scale. Four agronomic treatments, namely Austrian Win...

[1] The evaluation of the relationship between satellitederived vegetation indices (normalized difference vegetation index and normalized difference water index) and soil moisture improves our understanding of how these indices respond to soil moisture fluctuations. Soil moisture deficits are ultimately tied to drought stress on plants. The diverse terrain and climate of Oklahoma, the extensive...

The increasing extreme weather and climate events have a significant impact on the resistance resilience of Norway spruce trees. responses adaptation individual trees to certain factors can be assessed through tree breeding programmes. Tree programmes combined with multispectral unmanned aircraft vehicle (UAV) platforms may assist in acquiring regular information traits from large areas progeny...

This paper analyses the associations between Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) on the prevalence of schistosomiasis and the presence of Biomphalaria glabrata in the state of Minas Gerais (MG), Brazil. Additionally, vegetation, soil and shade fraction images were created using a Linear Spectral Mixture Model (LSMM) from the blue, red and infrared c...

Tropical deforestation is leading not only to losses of biodiversity but also to regional losses of vegetation productivity. However, in many areas the deforestation process is usually accompanied by a fast forest regeneration that produces a mosaic of forest patches in different successional stages. These successional stages have different productivities owing primarily to differences in speci...

The use of multispectral aerial photography data contributes to the study soybean plants by obtaining objective data. evaluation field germination crops was carried out using (MSD). purpose this develop ranges according survey from an unmanned vehicle (UAV) for three years (2020, 2021, and 2022). As part ground-based research, number that sprang up per unit area calculated expressed as a percen...