[HTML][HTML] Remote sensing vegetation indices in viticulture: A critical review

R Giovos, D Tassopoulos, D Kalivas, N Lougkos… - Agriculture, 2021 - mdpi.com
One factor of precision agriculture is remote sensing, through which we can monitor
vegetation health and condition. Much research has been conducted in the field of remote …

Are unmanned aerial vehicle-based hyperspectral imaging and machine learning advancing crop science?

A Matese, JMP Czarnecki, S Samiappan… - Trends in Plant …, 2024 - cell.com
The past few years have seen increased interest in unmanned aerial vehicle (UAV)-based
hyperspectral imaging (HSI) and machine learning (ML) in agricultural research …

[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 …

UAV multisensory data fusion and multi-task deep learning for high-throughput maize phenoty**

C Nguyen, V Sagan, S Bhadra, S Moose - Sensors, 2023 - mdpi.com
Recent advances in unmanned aerial vehicles (UAV), mini and mobile sensors, and GeoAI
(a blend of geospatial and artificial intelligence (AI) research) are the main highlights among …

Estimating the cooling effect of pocket green space in high density urban areas in Shanghai, China

C Wu, J Li, C Wang, C Song, D Haase… - Frontiers in …, 2021 - frontiersin.org
Recently, pocket green spaces (PGS), ie, small green spaces, have attracted growing
attention for their various ecological and social services. As a crucial part of urban green …

Applying RGB-and thermal-based vegetation indices from UAVs for high-throughput field phenoty** of drought tolerance in forage grasses

T De Swaef, WH Maes, J Aper, J Baert, M Cougnon… - Remote Sensing, 2021 - mdpi.com
The persistence and productivity of forage grasses, important sources for feed production,
are threatened by climate change-induced drought. Breeding programs are in search of new …

Solar-induced chlorophyll fluorescence extraction based on heterogeneous light distribution for improving in-situ chlorophyll content estimation

R Zhao, W Tang, L An, L Qiao, N Wang, H Sun… - … and Electronics in …, 2023 - Elsevier
Accurate estimation of leaf chlorophyll content (LCC) in field for wheat crops is important to
provide guidance for precision management. Solar-induced chlorophyll fluorescence (SIF) …

Remote sensing from unoccupied aerial systems: opportunities to enhance Arctic plant ecology in a changing climate

D Yang, BD Morrison, KJ Davidson, J Lamour… - Journal of …, 2022 - Wiley Online Library
The Arctic is warming at a faster rate than any other biome on Earth, resulting in widespread
changes in vegetation composition, structure and function that have important feedbacks to …

Unmanned aerial system plant protection products spraying performance evaluation on a vineyard

A Sassu, V Psiroukis, F Bettucci, L Ghiani, S Fountas… - Precision …, 2024 - Springer
In the context of increasing global food demand and the urgent need for production
processes optimization, plant protection products play a key role in safeguarding crops from …

[HTML][HTML] UAV-based multi-temporal thermal imaging to evaluate wheat drought resistance in different deficit irrigation regimes

W Qin, J Wang, L Ma, F Wang, N Hu, X Yang, Y **ao… - Remote Sensing, 2022 - mdpi.com
Deficit irrigation is a common approach in water-scarce regions to balance productivity and
water use, whereas drought stress still occurs to various extents, leading to reduced …