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Mapping Sugarcane in Central India with Smartphone Crowdsourcing., , , , , , and . Remote. Sens., 14 (3): 703 (2022)Mapping Crop Types in Southeast India with Smartphone Crowdsourcing and Deep Learning., , , , , , and . Remote. Sens., 12 (18): 2957 (2020)Annual Field-Scale Maps of Tall and Short Crops at the Global Scale Using GEDI and Sentinel-2., , , , , and . Remote. Sens., 15 (17): 4123 (September 2023)SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning., , , , , , , , , and . NeurIPS Datasets and Benchmarks, (2021)Combining Deep Learning and Street View Imagery to Map Smallholder Crop Types., , and . AAAI, page 22202-22212. AAAI Press, (2024)Annual field-scale maps of tall and short crops at the global scale using GEDI and Sentinel-2., , , , , and . CoRR, (2022)Combining deep learning and street view imagery to map smallholder crop types., , and . CoRR, (2023)Unlocking large-scale crop field delineation in smallholder farming systems with transfer learning and weak supervision., , and . CoRR, (2022)Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short crops., , and . CoRR, (2021)Landsat-Based Reconstruction of Corn and Soybean Yield Histories in the United States Since 1999., , , , and . IGARSS, page 5179-5182. IEEE, (2020)