GP_PW_ABCD_VERIFIED_ALL · 63/92可访问的节点表ID类型标签群组版本W000633出版物 workSoil Dynamics and Crop Yield Modeling Using the MONICA Crop Simulation Model and Time Series Forecasting Methods—W000634出版物 workMaximizing dataset variability in agricultural surveys with spatial sampling based on MaxVol matrix approximation—W000635出版物 workBayesian Aggregation Improves Traditional Single-Image Crop Classification Approaches—W000636出版物 workBayesian aggregation improves traditional single image crop classification approaches—W000637出版物 workOptimal soil sampling design based on the maxvol algorithm—W000638出版物 workSynergy between Artificial Intelligence and Hyperspectral Imagining—A Review—W000639出版物 workDeep Learning in Precision Agriculture: Artificially Generated VNIR Images Segmentation for Early Postharvest Decay Prediction in Apples—W000640出版物 workA Single Image Deep Learning Approach to Restoration of Corrupted Landsat-7 Satellite Images—W000641出版物 workHyper-spectral NIR and MIR data and optimal wavebands for detection of apple tree diseases—W000642出版物 workAssessment of Leaf Area and Biomass through AI-Enabled Deployment—W000643出版物 workDynamic Mode Decomposition and Deep Learning for Postharvest Decay Prediction in Apples—W000644出版物 workApple Trees Diseases Detection Through Computer Vision in Embedded Systems—W000645出版物 workDeep Learning for improving the storage process: Accurate and automatic segmentation of spoiled areas on apples—W000646出版物 workDeep Learning for Postharvest Decay Prediction in Apples—W000647出版物 workDeep learning techniques for enhancement of weeds growth classification—W000648出版物 workImage Compression and Plants Classification Using Machine Learning in Controlled-Environment Agriculture: Antarctic Station Use Case—W000649出版物 workOrganic amendments potentially stabilize metals in smelter contaminated Arctic soils: An incubation study—W000650出版物 workKalman Filtering for Accurate and Fast Plant Growth Dynamics Assessment—上一页第 63 页，共 92下一页