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Precision agriculture in the United States: A comprehensive meta-review inspiring further research, innovation, and adoption
MRB Júnior, BR de Almeida Moreira… - … and Electronics in …, 2024 - Elsevier
Precision agriculture has emerged as a dominant force in the United States, with
widespread adoption of advanced technologies and decision support systems (DSS) since …
widespread adoption of advanced technologies and decision support systems (DSS) since …
Current and Near-Term Earth-Observing Environmental Satellites, Their Missions, Characteristics, Instruments, and Applications
SL Ustin, EMP Middleton - Sensors, 2024 - mdpi.com
Among the essential tools to address global environmental information requirements are the
Earth-Observing (EO) satellites with free and open data access. This paper reviews those …
Earth-Observing (EO) satellites with free and open data access. This paper reviews those …
Appraisal of EnMAP hyperspectral imagery use in LULC map** when combined with machine learning pixel-based classifiers
The recent availability of satellite hyperspectral imaging combined with the developments in
the classification techniques have paved the way towards improving our ability to obtain …
the classification techniques have paved the way towards improving our ability to obtain …
Extended attribute profiles for precise crop classification in UAV-borne hyperspectral imagery
Q Lu, Y ** by PRISMA images using machine/deep learning approaches: Italy and Iran test cases
Despite its high importance for crop yield prediction and monitoring, early-season crop
map** is severely hampered by the absence of timely ground truth. To cope with this …
map** is severely hampered by the absence of timely ground truth. To cope with this …
Gabor-modulated grouped separable convolutional network for hyperspectral image classification
Nowadays, convolutional neural network (CNN)-based deep learning (DL) models have
been popularized in hyperspectral image classification (HSIC) and achieved significant …
been popularized in hyperspectral image classification (HSIC) and achieved significant …
S2HM2: A Spectral-Spatial Hierarchical Masked Modeling Framework for Self-Supervised Feature Learning and Classification of Large-Scale Hyperspectral Images
Most of the existing deep learning-based hyperspectral image (HSI) classification algorithms
are based on supervised learning, where a large number of annotated labels with high …
are based on supervised learning, where a large number of annotated labels with high …
Efficient detection of cotton verticillium wilt by combining satellite time series data and multi-view UAV images
As a crucial economic crop, the health status of cotton directly impacts farmers' income and
the national economy. Therefore, timely and accurate detection and identification of cotton …
the national economy. Therefore, timely and accurate detection and identification of cotton …
[HTML][HTML] Temperate forest soil pH accurately quantified with image spectroscopy
Forest canopies to some extent obscure passive reflectance of soil traits such as pH, as well
as below-canopy vegetation, in the optical to middle infrared portions of the electromagnetic …
as below-canopy vegetation, in the optical to middle infrared portions of the electromagnetic …
Object-based image analysis: Evolution, history, state of the art, and future vision
This chapter explains OBIA (Object Based Image Analysis) methods as used in the
geospatial domain and elsewhere. We will start from the quest to partitioning geospatial data …
geospatial domain and elsewhere. We will start from the quest to partitioning geospatial data …