[HTML][HTML] Large-scale crop mapping from multi-source optical satellite imageries using machine learning with discrete grids
S Yan, X Yao, D Zhu, D Liu, L Zhang, G Yu… - International Journal of …, 2021 - Elsevier
The spatial distribution of crops is an important agricultural parameter, which is used to
derive important information about crop productivity and food security. However, crop …
derive important information about crop productivity and food security. However, crop …
Remote Sensing Applications in Almond Orchards: A Comprehensive Systematic Review of Current Insights, Research Gaps, and Future Prospects
Almond cultivation is of great socio-economic importance worldwide. With the demand for
almonds steadily increasing due to their nutritional value and versatility, optimizing the …
almonds steadily increasing due to their nutritional value and versatility, optimizing the …
[HTML][HTML] 3D-ResNet-BiLSTM Model: A Deep Learning Model for County-Level Soybean Yield Prediction with Time-Series Sentinel-1, Sentinel-2 Imagery, and Daymet …
Ensuring food security in precision agriculture requires early prediction of soybean yield at
various scales within the United States (US), ranging from international to local levels …
various scales within the United States (US), ranging from international to local levels …
UAV and structure-from-motion photogrammetry enhance river restoration monitoring: A dam removal study
AD Evans, KH Gardner, S Greenwood, B Still - Drones, 2022 - mdpi.com
Dam removal is a river restoration technique that has complex landscape-level ecological
impacts. Unmanned aerial vehicles (UAVs) are emerging as tools that enable relatively …
impacts. Unmanned aerial vehicles (UAVs) are emerging as tools that enable relatively …
Utilizing spectral, structural and textural features for estimating oat above-ground biomass using UAV-based multispectral data and machine learning
Accurate and timely monitoring of biomass in breeding nurseries is essential for evaluating
plant performance and selecting superior genotypes. Traditional methods for phenotyping …
plant performance and selecting superior genotypes. Traditional methods for phenotyping …
Quantifying the effectiveness of shaded fuel breaks from ground-based, aerial, and spaceborne observations
Shaded fuel breaks are treatments that aim to mitigate wildfires by establishing linearly
aligned locations where wildfire suppression efforts can be more effective at stopping …
aligned locations where wildfire suppression efforts can be more effective at stopping …
Predicting dry pea maturity using machine learning and advanced sensor fusion with unmanned aerial systems (UASs)
Maturity is an important trait in dry pea breeding programs, but the conventional process
predominately used to measure this trait can be time-consuming, labor-intensive, and prone …
predominately used to measure this trait can be time-consuming, labor-intensive, and prone …
A GIS pipeline to produce GeoAI datasets from drone overhead imagery
JR Ballesteros, G Sanchez-Torres… - … International Journal of …, 2022 - mdpi.com
Drone imagery is becoming the main source of overhead information to support decisions in
many different fields, especially with deep learning integration. Datasets to train object …
many different fields, especially with deep learning integration. Datasets to train object …
Novel 3D imaging systems for high-throughput phenotyping of plants
The use of 3D plant models for high-throughput phenotyping is increasingly becoming a
preferred method for many plant science researchers. Numerous camera-based imaging …
preferred method for many plant science researchers. Numerous camera-based imaging …
Monitoring and zoning soybean maturity using UAV remote sensing
W Shi, Y Li, W Zhang, C Yu, C Zhao, J Qiu - Industrial Crops and Products, 2024 - Elsevier
Timely and accurate determination of the maturity status during the soybean harvest period
is crucial for devising strategic harvesting plans, significantly enhancing the intelligent …
is crucial for devising strategic harvesting plans, significantly enhancing the intelligent …