[HTML][HTML] Drones in agriculture: A review and bibliometric analysis

A Rejeb, A Abdollahi, K Rejeb, H Treiblmaier - Computers and electronics …, 2022 - Elsevier
Abstract Drones, also called Unmanned Aerial Vehicles (UAV), have witnessed a
remarkable development in recent decades. In agriculture, they have changed farming …

[HTML][HTML] Applications of drone in disaster management: A scoping review

SMSM Daud, MYPM Yusof, CC Heo, LS Khoo… - Science & Justice, 2022 - Elsevier
The use of drones has rapidly evolved over the past decade involving a variety of fields
ranging from agriculture, commercial and becoming increasingly used in disaster …

Forecasting of crop yield using remote sensing data, agrarian factors and machine learning approaches

JP Bharadiya, NT Tzenios… - Journal of Engineering …, 2023 - classical.goforpromo.com
The art of predicting crop production is done before the crop is harvested. Crop output
forecasts will help people make timely judgments concerning food policy, prices in markets …

Soybean yield prediction from UAV using multimodal data fusion and deep learning

M Maimaitijiang, V Sagan, P Sidike, S Hartling… - Remote sensing of …, 2020 - Elsevier
Preharvest crop yield prediction is critical for grain policy making and food security. Early
estimation of yield at field or plot scale also contributes to high-throughput plant phenotyping …

Crop phenomics and high-throughput phenotyping: past decades, current challenges, and future perspectives

W Yang, H Feng, X Zhang, J Zhang, JH Doonan… - Molecular plant, 2020 - cell.com
Since whole-genome sequencing of many crops has been achieved, crop functional
genomics studies have stepped into the big-data and high-throughput era. However …

AI meets UAVs: A survey on AI empowered UAV perception systems for precision agriculture

J Su, X Zhu, S Li, WH Chen - Neurocomputing, 2023 - Elsevier
Precision Agriculture (PA) promises to boost crop productivity while reducing agricultural
costs and environmental footprints, and therefore is attracting ever-increasing interests in …

Smart farming in Europe

V Moysiadis, P Sarigiannidis, V Vitsas, A Khelifi - Computer science review, 2021 - Elsevier
Smart Farming is the new term in the agriculture sector, aiming to transform the traditional
techniques to innovative solutions based on Information Communication Technologies …

A review on plant high-throughput phenotyping traits using UAV-based sensors

C Xie, C Yang - Computers and Electronics in Agriculture, 2020 - Elsevier
The current methods of phenotyping for breeding lines require a lot of time, labor and cost. In
recent years, unmanned aerial system (UAS) has paved the way for the development of field …

Above-ground biomass estimation and yield prediction in potato by using UAV-based RGB and hyperspectral imaging

B Li, X Xu, L Zhang, J Han, C Bian, G Li, J Liu… - ISPRS Journal of …, 2020 - Elsevier
Rapid and accurate biomass and yield estimation facilitates efficient plant phenotyping and
site-specific crop management. A low altitude unmanned aerial vehicle (UAV) was used to …

Grain yield prediction of rice using multi-temporal UAV-based RGB and multispectral images and model transfer–a case study of small farmlands in the South of China

L Wan, H Cen, J Zhu, J Zhang, Y Zhu, D Sun… - Agricultural and Forest …, 2020 - Elsevier
Timely and accurate crop monitoring and yield forecasting before harvesting are valuable for
precision management, policy and decision making, and marketing. The aim of this study is …