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Monitoring Within-Field Variability of Corn Yield using Sentinel-2 and Machine Learning Techniques.

, , , , and . Remote Sensing, 11 (23): 2873 (2019)

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Ten years of corn yield dynamics at field scale under digital agriculture solutions: A case study from North Italy., , , , , and . Comput. Electron. Agric., (2021)How many gigabytes per hectare are available in the digital agriculture era? A digitization footprint estimation., , , , , , , , , and . Comput. Electron. Agric., (July 2022)An Hybrid Architecture for consolidating mixed criticality applications on multicore systems., , , , , , and . IOLTS, page 26-29. IEEE, (2015)Monitoring Within-Field Variability of Corn Yield using Sentinel-2 and Machine Learning Techniques., , , , and . Remote Sensing, 11 (23): 2873 (2019)Combining simulations and field experiments: Effects of subsoiling angle and tillage depth on soil structure and energy requirements., , , , and . Comput. Electron. Agric., (November 2023)Online time interference detection in mixed-criticality applications on multicore architectures using performance counters., , , , and . IOLTS, page 213-214. IEEE, (2016)Adopting Precision Agriculture Strategies to Survey the Effect of Tillage Systems on Crop Growth Under High Spatial Variability Soil Conditions., , , and . ERCIM News, (2018)A mixed-autonomous robotic platform for intra-row and inter-row weed removal for precision agriculture., , , , , , and . Comput. Electron. Agric., (November 2023)A Novel Method for Online Detection of Faults Affecting Execution-Time in Multicore-Based Systems., , , , and . ACM Trans. Embed. Comput. Syst., 16 (4): 94:1-94:19 (2017)