[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] The digitization of agricultural industry–a systematic literature review on agriculture 4.0

R Abbasi, P Martinez, R Ahmad - Smart Agricultural Technology, 2022 - Elsevier
Agriculture is considered one of the most important sectors that play a strategic role in
ensuring food security. However, with the increasing world's population, agri-food demands …

Remote sensing for agricultural applications: A meta-review

M Weiss, F Jacob, G Duveiller - Remote sensing of environment, 2020 - Elsevier
Agriculture provides humanity with food, fibers, fuel, and raw materials that are paramount
for human livelihood. Today, this role must be satisfied within a context of environmental …

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 …

A technical study on UAV characteristics for precision agriculture applications and associated practical challenges

N Delavarpour, C Koparan, J Nowatzki, S Bajwa… - Remote Sensing, 2021 - mdpi.com
The incorporation of advanced technologies into Unmanned Aerial Vehicles (UAVs)
platforms have enabled many practical applications in Precision Agriculture (PA) over the …

UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat

S Fei, MA Hassan, Y Xiao, X Su, Z Chen, Q Cheng… - Precision …, 2023 - Springer
Early prediction of grain yield helps scientists to make better breeding decisions for wheat.
Use of machine learning (ML) methods for fusion of unmanned aerial vehicle (UAV)-based …

Unmanned aerial vehicles in agriculture: A review of perspective of platform, control, and applications

J Kim, S Kim, C Ju, HI Son - Ieee Access, 2019 - ieeexplore.ieee.org
For agricultural applications, regularized smart-farming solutions are being considered,
including the use of unmanned aerial vehicles (UAVs). The UAVs combine information and …

[HTML][HTML] A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research

D Montero, C Aybar, MD Mahecha, F Martinuzzi… - Scientific Data, 2023 - nature.com
Spectral Indices derived from multispectral remote sensing products are extensively used to
monitor Earth system dynamics (eg vegetation dynamics, water bodies, fire regimes). The …

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 …

Perspectives for remote sensing with unmanned aerial vehicles in precision agriculture

WH Maes, K Steppe - Trends in plant science, 2019 - cell.com
Remote sensing with unmanned aerial vehicles (UAVs) is a game-changer in precision
agriculture. It offers unprecedented spectral, spatial, and temporal resolution, but can also …