[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 …
remarkable development in recent decades. In agriculture, they have changed farming …
Recent advances of hyperspectral imaging technology and applications in agriculture
Remote sensing is a useful tool for monitoring spatio-temporal variations of crop
morphological and physiological status and supporting practices in precision farming. In …
morphological and physiological status and supporting practices in precision farming. In …
Significant remote sensing vegetation indices: A review of developments and applications
J Xue, B Su - Journal of sensors, 2017 - Wiley Online Library
Vegetation Indices (VIs) obtained from remote sensing based canopies are quite simple and
effective algorithms for quantitative and qualitative evaluations of vegetation cover, vigor …
effective algorithms for quantitative and qualitative evaluations of vegetation cover, vigor …
Hyperspectral imaging: A review on UAV-based sensors, data processing and applications for agriculture and forestry
Traditional imagery—provided, for example, by RGB and/or NIR sensors—has proven to be
useful in many agroforestry applications. However, it lacks the spectral range and precision …
useful in many agroforestry applications. However, it lacks the spectral range and precision …
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 phenoty** …
estimation of yield at field or plot scale also contributes to high-throughput plant phenoty** …
Deep learning for unmanned aerial vehicle-based object detection and tracking: A survey
Owing to effective and flexible data acquisition, unmanned aerial vehicles (UAVs) have
recently become a hotspot across the fields of computer vision (CV) and remote sensing …
recently become a hotspot across the fields of computer vision (CV) and remote sensing …
WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets and classifier for precise crop identification based on deep convolutional …
Unmanned aerial vehicle (UAV)-borne hyperspectral systems can acquire hyperspectral
imagery with a high spatial resolution (which we refer to here as H 2 imagery). As a result of …
imagery with a high spatial resolution (which we refer to here as H 2 imagery). As a result of …
Modern trends in hyperspectral image analysis: A review
Over the past three decades, significant developments have been made in hyperspectral
imaging due to which it has emerged as an effective tool in numerous civil, environmental …
imaging due to which it has emerged as an effective tool in numerous civil, environmental …
Unmanned aerial vehicle remote sensing for field-based crop phenoty**: current status and perspectives
Phenoty** plays an important role in crop science research; the accurate and rapid
acquisition of phenotypic information of plants or cells in different environments is helpful for …
acquisition of phenotypic information of plants or cells in different environments is helpful for …
Quantitative remote sensing at ultra-high resolution with UAV spectroscopy: a review of sensor technology, measurement procedures, and data correction workflows
In the last 10 years, development in robotics, computer vision, and sensor technology has
provided new spectral remote sensing tools to capture unprecedented ultra-high spatial and …
provided new spectral remote sensing tools to capture unprecedented ultra-high spatial and …