Unmanned aerial vehicles for biodiversity-friendly agricultural landscapes-A systematic review
F Librán-Embid, F Klaus, T Tscharntke… - Science of the total …, 2020 - Elsevier
The development of biodiversity-friendly agricultural landscapes is of major importance to
meet the sustainable development challenges of our time. The emergence of unmanned …
meet the sustainable development challenges of our time. The emergence of unmanned …
Prediction of strawberry dry biomass from UAV multispectral imagery using multiple machine learning methods
Biomass is a key biophysical parameter for precision agriculture and plant breeding. Fast,
accurate and non-destructive monitoring of biomass enables various applications related to …
accurate and non-destructive monitoring of biomass enables various applications related to …
Early detection of wheat yellow rust disease and its impact on terminal yield with multi-spectral uav-imagery
C Nguyen, V Sagan, J Skobalski, JI Severo - Remote Sensing, 2023 - mdpi.com
The food production system is vulnerable to diseases more than ever, and the threat is
increasing in an era of climate change that creates more favorable conditions for emerging …
increasing in an era of climate change that creates more favorable conditions for emerging …
[HTML][HTML] Large-scale crop mapping from multi-source optical satellite imageries using machine learning with discrete grids
S Yan, X Yao, D Zhu, D Liu, L Zhang, G Yu… - International Journal of …, 2021 - Elsevier
The spatial distribution of crops is an important agricultural parameter, which is used to
derive important information about crop productivity and food security. However, crop …
derive important information about crop productivity and food security. However, crop …
Fine scale plant community assessment in coastal meadows using UAV based multispectral data
Coastal meadows worldwide are subjected to habitat degradation due to abandonment,
intensification and the impacts of global change. In order to protect and restore these …
intensification and the impacts of global change. In order to protect and restore these …
[HTML][HTML] Machine learning classification and accuracy assessment from high-resolution images of coastal wetlands
R Martínez Prentice, M Villoslada Peciña, RD Ward… - Remote Sensing, 2021 - mdpi.com
High-resolution images obtained by multispectral cameras mounted on Unmanned Aerial
Vehicles (UAVs) are helping to capture the heterogeneity of the environment in images that …
Vehicles (UAVs) are helping to capture the heterogeneity of the environment in images that …
Automatic tree crown extraction from uas multispectral imagery for the detection of bark beetle disturbance in mixed forests
Multispectral imaging using unmanned aerial systems (UAS) enables rapid and accurate
detection of pest insect infestations, which are an increasing threat to midlatitude natural …
detection of pest insect infestations, which are an increasing threat to midlatitude natural …
Evaluation of water status of wheat genotypes to aid prediction of yield on sodic soils using UAV-thermal imaging and machine learning
Water stress limits wheat growth and the yield on rain-fed sodic soils. Appropriate selection
of traits and novel methods are required to forecast yield and to identify water stress tolerant …
of traits and novel methods are required to forecast yield and to identify water stress tolerant …
[HTML][HTML] Bridging the gap between crop breeding and GeoAI: Soybean yield prediction from multispectral UAV images with transfer learning
J Skobalski, V Sagan, H Alifu, O Al Akkad… - ISPRS Journal of …, 2024 - Elsevier
Despite significant progress has been made towards crop yield prediction with remote
sensing, there exist knowledge gaps on (1) the impacts of temporal resolution of imaging …
sensing, there exist knowledge gaps on (1) the impacts of temporal resolution of imaging …
Estimation of grapevine crop coefficient using a multispectral camera on an unmanned aerial vehicle
Crop water status and irrigation requirements are of great importance to the horticultural
industry due to changing climatic conditions leading to high evaporative demands, drought …
industry due to changing climatic conditions leading to high evaporative demands, drought …