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Real-Time Detection of Hogweed: UAV Platform Empowered by Deep Learning., , , , , , , and . IEEE Trans. Computers, 70 (8): 1175-1188 (2021)Object-Based Augmentation Improves Quality of Remote SensingSemantic Segmentation., , , , , and . CoRR, (2021)Hyper-spectral NIR and MIR data and optimal wavebands for detecting of apple tree diseases., , , , , , and . CoRR, (2020)Augmentation-Based Methodology for Enhancement of Trees Map Detalization on a Large Scale., , , , , and . Remote. Sens., 14 (9): 2281 (2022)Generation of the NIR Spectral Band for Satellite Images with Convolutional Neural Networks., , , , and . Sensors, 21 (16): 5646 (2021)Deep Learning in Precision Agriculture: Artificially Generated VNIR Images Segmentation for Early Postharvest Decay Prediction in Apples., , , , and . Entropy, 25 (7): 987 (July 2023)Deep learning techniques for enhancement of weeds growth classification., , , and . I2MTC, page 1-6. IEEE, (2021)Deep Learning for improving the storage process: Accurate and automatic segmentation of spoiled areas on apples., , , , , and . I2MTC, page 1-6. IEEE, (2021)Plant Growth Prediction through Intelligent Embedded Sensing., , , , and . ISIE, page 411-416. IEEE, (2020)Object-Based Augmentation for Building Semantic Segmentation: Ventura and Santa Rosa Case Study., , , , , and . ICCVW, page 1659-1668. IEEE, (2021)