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   Articles with "crop type" as a keyword



Characterization of new chloroplast markers to determine biogeographical origin and crop type of Cannabis sativa

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recommendations! Published in 2019 at "International Journal of Legal Medicine"

DOI: 10.1007/s00414-019-02142-w

Abstract: Marijuana (Cannabis sativa) is the most commonly used illicit drug in the USA. Despite its schedule I classification by the federal government, 33 states and the District of Columbia have legalized its use for medicinal… read more here.

Keywords: cannabis; marijuana; crop type; drug ... See more keywords
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A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach

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recommendations! Published in 2018 at "Remote Sensing of Environment"

DOI: 10.1016/j.rse.2018.02.045

Abstract: Abstract Accurate and timely spatial classification of crop types based on remote sensing data is important for both scientific and practical purposes. Spatially explicit crop-type information can be used to estimate crop areas for a… read more here.

Keywords: information; classification; crop type; performance ... See more keywords

Crop type mapping without field-level labels: Random forest transfer and unsupervised clustering techniques

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recommendations! Published in 2019 at "Remote Sensing of Environment"

DOI: 10.1016/j.rse.2018.12.026

Abstract: Abstract Crop type mapping at the field level is necessary for a variety of applications in agricultural monitoring and food security. As remote sensing imagery continues to increase in spatial and temporal resolution, it is… read more here.

Keywords: crop; field; crop type; level ... See more keywords
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Integrating coarse-resolution images and agricultural statistics to generate sub-pixel crop type maps and reconciled area estimates

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recommendations! Published in 2021 at "Remote Sensing of Environment"

DOI: 10.1016/j.rse.2021.112365

Abstract: Abstract Reliable crop type maps are vital for agricultural monitoring, ensuring food security, and environmental sustainability assessments. Coarse-resolution imagery such as MODIS are widely used for crop type mapping due to their short revisit cycles,… read more here.

Keywords: resolution; crop; crop type; type maps ... See more keywords

Helmets Labeling Crops: Kenya Crop Type Dataset Created via Helmet-Mounted Cameras and Deep Learning

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recommendations! Published in 2025 at "Scientific Data"

DOI: 10.1038/s41597-025-05762-7

Abstract: Accurate, up-to-date agricultural monitoring is essential for assessing food production, particularly in countries like Kenya, where recurring climate extremes, including floods and droughts, exacerbate food insecurity challenges. In regions dominated by smallholder farmers, a significant… read more here.

Keywords: deep learning; dataset; crop; helmets labeling ... See more keywords
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Crop type identification and spatial mapping using Sentinel-2 satellite data with focus on field-level information

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recommendations! Published in 2020 at "Geocarto International"

DOI: 10.1080/10106049.2020.1805029

Abstract: Accurate monitoring of croplands helps in making decisions (for insurance claims, crop management and contingency plans) at the macro-level, especially in drylands where variability in cropping is ... read more here.

Keywords: spatial mapping; crop type; type identification; level ... See more keywords

Crop Type Identification and Mapping Using Machine Learning Algorithms and Sentinel-2 Time Series Data

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recommendations! Published in 2019 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2019.2922469

Abstract: In this paper, the random forests method and the support vector machine in machine learning are explored and compared to the traditional statistical-based maximum likelihood method with 126 features from Sentinel-2A images. The spectral reflectance… read more here.

Keywords: crop type; machine; classification; identification ... See more keywords

STA-AgriNet: A Spatio-Temporal Attention Framework for Crop Type Mapping from Fused Multi-Sensor Multi-Temporal SITS

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recommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2024.3510468

Abstract: Precise and timely crop type mapping delivers insights into crop growth statistics and ensures food security for growing economies. Automated mapping is crucial in several agricultural applications, including crop wear assessment and yield forecasting. The… read more here.

Keywords: type mapping; temporal attention; crop; crop type ... See more keywords

Combining Machine Learning and Spatiotemporal Filtering to Map Crop Types of Germany for Seven Years

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recommendations! Published in 2025 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2025.3587517

Abstract: Knowledge of the distribution of crop types and their sequence over the years is essential not only for scientific applications but also for supporting informed planning for food security, climate adaptation and mitigation, agroecology, and… read more here.

Keywords: crop types; methodology; machine learning; crop ... See more keywords
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Genetic diversity among cultivated beets (Beta vulgaris) assessed via population-based whole genome sequences

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recommendations! Published in 2020 at "BMC Genomics"

DOI: 10.1186/s12864-020-6451-1

Abstract: Diversification on the basis of utilization is a hallmark of Beta vulgaris (beet), as well as other crop species. Often, crop improvement and management activities are segregated by crop type, thus preserving unique genome diversity… read more here.

Keywords: crop types; beta vulgaris; crop type; crop ... See more keywords
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Crop Type Discrimination and Health Assessment using Hyperspectral Imaging

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recommendations! Published in 2019 at "Current Science"

DOI: 10.18520/cs/v116/i7/1108-1123

Abstract: Rahul Nigam*, Rojalin Tripathy, Sujay Dutta, Nita Bhagia, Rohit Nagori, K. Chandrasekar, Rajsi Kot, Bimal K. Bhattacharya and Susan Ustin Agriculture and Land Eco-system Division, Earth, Ocean, Atmosphere, Planetary Sciences and Applications Area, Space Applications… read more here.

Keywords: discrimination health; health assessment; assessment using; type discrimination ... See more keywords