A comprehensive survey of the recent studies with UAV for precision agriculture in open fields and greenhouses
The increasing world population makes it necessary to fight challenges such as climate
change and to realize production efficiently and quickly. However, the minimum cost …
change and to realize production efficiently and quickly. However, the minimum cost …
High-throughput estimation of crop traits: A review of ground and aerial phenotyping platforms
Crop yields need to be improved in a sustainable manner to meet the expected worldwide
increase in population over the coming decades as well as the effects of anticipated climate …
increase in population over the coming decades as well as the effects of anticipated climate …
Machine learning-aided operations and communications of unmanned aerial vehicles: A contemporary survey
Over the past decade, Unmanned Aerial Vehicles (UAVs) have provided pervasive, efficient,
and cost-effective solutions for data collection and communications. Their excellent mobility …
and cost-effective solutions for data collection and communications. Their excellent mobility …
Remote-sensing estimation of potato above-ground biomass based on spectral and spatial features extracted from high-definition digital camera images
Above-ground biomass (AGB) is a significant phenotypic index for evaluating
photosynthesis capacity, healthy growth, and estimating crop yield. Accurately monitoring …
photosynthesis capacity, healthy growth, and estimating crop yield. Accurately monitoring …
Estimation of potato above-ground biomass based on unmanned aerial vehicle red-green-blue images with different texture features and crop height
Obtaining crop above-ground biomass (AGB) information quickly and accurately is
beneficial to farmland production management and the optimization of planting patterns …
beneficial to farmland production management and the optimization of planting patterns …
Corn grain yield estimation from vegetation indices, canopy cover, plant density, and a neural network using multispectral and RGB images acquired with unmanned …
H García-Martínez, H Flores-Magdaleno… - Agriculture, 2020 - mdpi.com
Corn yields vary spatially and temporally in the plots as a result of weather, altitude, variety,
plant density, available water, nutrients, and planting date; these are the main factors that …
plant density, available water, nutrients, and planting date; these are the main factors that …
[HTML][HTML] Combining spectral and textural information in UAV hyperspectral images to estimate rice grain yield
F Wang, Q Yi, J Hu, L Xie, X Yao, T Xu… - International Journal of …, 2021 - Elsevier
The speedy development of UAV (Unmanned Aerial Vehicle) has provided more data
choices for crop yield estimation. In most cases, spectral information derived from …
choices for crop yield estimation. In most cases, spectral information derived from …
Real-time kiwifruit detection in orchard using deep learning on Android™ smartphones for yield estimation
Z Zhou, Z Song, L Fu, F Gao, R Li, Y Cui - Computers and Electronics in …, 2020 - Elsevier
Fast and accurate detection of kiwifruit in orchard under natural environment is the primary
technology for yield estimation. Deep learning has become a prevalent way of fruit detection …
technology for yield estimation. Deep learning has become a prevalent way of fruit detection …
UAV-based indicators of crop growth are robust for distinct water and nutrient management but vary between crop development phases
Unmanned aerial vehicle (UAV) remote sensing and machine learning have emerged as a
practical approach with ultra-high temporal and spatial resolutions to overcome the …
practical approach with ultra-high temporal and spatial resolutions to overcome the …
Wheat biomass, yield, and straw-grain ratio estimation from multi-temporal UAV-based RGB and multispectral images
L Wei, H Yang, Y Niu, Y Zhang, L Xu, X Chai - Biosystems Engineering, 2023 - Elsevier
Highlights•A novel wheat harvest property prediction CNN-LSTM network was
proposed.•The temporal and spatial characteristics of wheat remote sensing data were …
proposed.•The temporal and spatial characteristics of wheat remote sensing data were …