[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 …

Remote Sensing Applications in Almond Orchards: A Comprehensive Systematic Review of Current Insights, Research Gaps, and Future Prospects

N Guimarães, JJ Sousa, L Pádua, A Bento, P Couto - Applied Sciences, 2024 - mdpi.com
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 …

[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 …

M Fathi, R Shah-Hosseini, A Moghimi - Remote Sensing, 2023 - mdpi.com
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 …

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 …

Utilizing spectral, structural and textural features for estimating oat above-ground biomass using UAV-based multispectral data and machine learning

R Dhakal, M Maimaitijiang, J Chang, M Caffe - Sensors, 2023 - mdpi.com
Accurate and timely monitoring of biomass in breeding nurseries is essential for evaluating
plant performance and selecting superior genotypes. Traditional methods for phenotyping …

Quantifying the effectiveness of shaded fuel breaks from ground-based, aerial, and spaceborne observations

JA Baijnath-Rodino, A Martinez, RA York… - Forest Ecology and …, 2023 - Elsevier
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 …

Predicting dry pea maturity using machine learning and advanced sensor fusion with unmanned aerial systems (UASs)

A Bazrafkan, H Navasca, JH Kim, M Morales… - Remote Sensing, 2023 - mdpi.com
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 …

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 …

Novel 3D imaging systems for high-throughput phenotyping of plants

T Gao, F Zhu, P Paul, J Sandhu, HA Doku, J Sun… - Remote Sensing, 2021 - mdpi.com
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 …

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 …