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Mapping Agricultural Intensification in the Brazilian Savanna: A Machine Learning Approach Using Harmonized Data from Landsat Sentinel-2.
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- ISPRS International Journal of Geo-Information, 2023, v. 12, n. 7, p. 263, doi. 10.3390/ijgi12070263
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- Article
Using crop models, a decline factor, and a "multi-model" approach to estimate sugarcane yield compared to on-farm data.
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- Theoretical & Applied Climatology, 2024, v. 155, n. 3, p. 2177, doi. 10.1007/s00704-023-04736-2
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- Article
A Method for Estimating Soybean Sowing, Beginning Seed, and Harvesting Dates in Brazil Using NDVI-MODIS Data.
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- Remote Sensing, 2024, v. 16, n. 14, p. 2520, doi. 10.3390/rs16142520
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- Article
Sugarcane Yield Estimation Using Satellite Remote Sensing Data in Empirical or Mechanistic Modeling: A Systematic Review.
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- Remote Sensing, 2024, v. 16, n. 5, p. 863, doi. 10.3390/rs16050863
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- Article
Estimating Crop Sowing and Harvesting Dates Using Satellite Vegetation Index: A Comparative Analysis.
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- Remote Sensing, 2023, v. 15, n. 22, p. 5366, doi. 10.3390/rs15225366
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- Article
Hierarchical Classification of Soybean in the Brazilian Savanna Based on Harmonized Landsat Sentinel Data.
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- Remote Sensing, 2022, v. 14, n. 15, p. 3736, doi. 10.3390/rs14153736
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- Article
Combining Deep Learning and Prior Knowledge for Crop Mapping in Tropical Regions from Multitemporal SAR Image Sequences.
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- Remote Sensing, 2019, v. 11, n. 17, p. 2029, doi. 10.3390/rs11172029
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- Article
Cloud Cover Assessment for Operational Crop Monitoring Systems in Tropical Areas.
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- Remote Sensing, 2016, v. 8, n. 3, p. 219, doi. 10.3390/rs8030219
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- Article
Precision and Digital Agriculture: Adoption of Technologies and Perception of Brazilian Farmers.
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- Agriculture; Basel, 2020, v. 10, n. 12, p. 653, doi. 10.3390/agriculture10120653
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- Article
Estimating Double Cropping Plantations in the Brazilian Cerrado through PlanetScope Monthly Mosaics.
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- Land (2012), 2023, v. 12, n. 3, p. 581, doi. 10.3390/land12030581
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- Article