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Soil moisture retrieval in well covered farmland by Radarsat-2 SAR data., , , и . IGARSS, стр. 1699-1702. IEEE, (2016)Pretrained Deep Learning Networks and Multispectral Imagery Enhance Maize LCC, FVC, and Maturity Estimation., , , , , , , , , и 2 other автор(ы). Remote. Sens., 16 (5): 784 (марта 2024)Estimation of Potato Above-Ground Biomass Using UAV-Based Hyperspectral images and Machine-Learning Regression., , , , , , , , и . Remote. Sens., 14 (21): 5449 (2022)Using an optimized texture index to monitor the nitrogen content of potato plants over multiple growth stages., , , , , , , , , и . Comput. Electron. Agric., (сентября 2023)Estimation of Potato Above-Ground Biomass Based on Vegetation Indices and Green-Edge Parameters Obtained from UAVs., , , , , , , и . Remote. Sens., 14 (21): 5323 (2022)A fast and lightweight detection model for wheat fusarium head blight spikes in natural environments., , , , , , и . Comput. Electron. Agric., (января 2024)Improving potato AGB estimation to mitigate phenological stage impacts through depth features from hyperspectral data., , , , , , , , , и 1 other автор(ы). Comput. Electron. Agric., (2024)Recognizing black point in wheat kernels and determining its extent using multidimensional feature extraction and a naive Bayes classifier., , , , , , , , , и . Comput. Electron. Agric., (2021)Remote-sensing estimation of potato above-ground biomass based on spectral and spatial features extracted from high-definition digital camera images., , , , , , , и . Comput. Electron. Agric., (2022)A Comparison of Regression Techniques for Estimation of Above-Ground Winter Wheat Biomass Using Near-Surface Spectroscopy., , , и . Remote. Sens., 10 (1): 66 (2018)