GP_PW_ABCD_VERIFIED_ALL · 63/92Доступная таблица узловIDТипНазваниеВерсии группW000633Публикация workSoil Dynamics and Crop Yield Modeling Using the MONICA Crop Simulation Model and Time Series Forecasting Methods—W000634Публикация workMaximizing dataset variability in agricultural surveys with spatial sampling based on MaxVol matrix approximation—W000635Публикация workBayesian Aggregation Improves Traditional Single-Image Crop Classification Approaches—W000636Публикация workBayesian aggregation improves traditional single image crop classification approaches—W000637Публикация workOptimal soil sampling design based on the maxvol algorithm—W000638Публикация workSynergy between Artificial Intelligence and Hyperspectral Imagining—A Review—W000639Публикация workDeep Learning in Precision Agriculture: Artificially Generated VNIR Images Segmentation for Early Postharvest Decay Prediction in Apples—W000640Публикация workA Single Image Deep Learning Approach to Restoration of Corrupted Landsat-7 Satellite Images—W000641Публикация workHyper-spectral NIR and MIR data and optimal wavebands for detection of apple tree diseases—W000642Публикация workAssessment of Leaf Area and Biomass through AI-Enabled Deployment—W000643Публикация workDynamic Mode Decomposition and Deep Learning for Postharvest Decay Prediction in Apples—W000644Публикация workApple Trees Diseases Detection Through Computer Vision in Embedded Systems—W000645Публикация workDeep Learning for improving the storage process: Accurate and automatic segmentation of spoiled areas on apples—W000646Публикация workDeep Learning for Postharvest Decay Prediction in Apples—W000647Публикация workDeep learning techniques for enhancement of weeds growth classification—W000648Публикация workImage Compression and Plants Classification Using Machine Learning in Controlled-Environment Agriculture: Antarctic Station Use Case—W000649Публикация workOrganic amendments potentially stabilize metals in smelter contaminated Arctic soils: An incubation study—W000650Публикация workKalman Filtering for Accurate and Fast Plant Growth Dynamics Assessment—НазадСтраница 63 из 92Далее