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 …

Prediction of strawberry dry biomass from UAV multispectral imagery using multiple machine learning methods

C Zheng, A Abd-Elrahman, V Whitaker, C Dalid - Remote Sensing, 2022 - mdpi.com
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 …

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 …

[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 …

Fine scale plant community assessment in coastal meadows using UAV based multispectral data

M Villoslada, TF Bergamo, RD Ward, NG Burnside… - Ecological …, 2020 - Elsevier
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 …

[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 …

Automatic tree crown extraction from uas multispectral imagery for the detection of bark beetle disturbance in mixed forests

R Minařík, J Langhammer, T Lendzioch - Remote Sensing, 2020 - mdpi.com
Multispectral imaging using unmanned aerial systems (UAS) enables rapid and accurate
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

S Das, J Christopher, A Apan, MR Choudhury… - Agricultural and Forest …, 2021 - Elsevier
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 …

[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 …

Estimation of grapevine crop coefficient using a multispectral camera on an unmanned aerial vehicle

D Gautam, B Ostendorf, V Pagay - Remote sensing, 2021 - mdpi.com
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 …