Remote Sensing

Breaking the Barrier of Human-annotated Training Data for Machine Learning-aided Plant Research using Aerial Imagery

Type: Publication

Themes: Feedstock Production

Keywords: AI/ML, Field Data, Miscanthus, Phenotyping, Remote Sensing

Evaluation of Average Leaf Inclination Angle Quantified by Indirect Optical Instruments in Crop Fields

Type: Publication

Themes: Sustainability

Keywords: Remote Sensing

Ground Far-Red Sun-Induced Chlorophyll Fluorescence and Vegetation Indices in the US Midwestern Agroecosystems

Type: Publication

Themes: Sustainability

Keywords: Geospatial, Remote Sensing

Emerging Sensing, Imaging, and Computational Technologies to Scale Nano- to Macroscale Rhizosphere Dynamics — Review and Research Perspectives

Type: Publication

Themes: Conversion

Keywords: Remote Sensing

SIF and Vegetation Indices in the US Midwestern Agroecosystems, 2016-2021

Type: Dataset

Themes: Sustainability

Keywords: Field Data, Remote Sensing

Deep Convolutional Neural Networks Exploit High-Spatial- and -Temporal-Resolution Aerial Imagery to Phenotype Key Traits in Miscanthus

Type: Publication

Themes: Feedstock Production

Keywords: AI/ML, Geospatial, Remote Sensing

UAV Remote Sensing Imagery of Miscanthus — 2020

Type: Dataset

Themes: Feedstock Production

Keywords: Biomass Analytics, Remote Sensing

Aerial Imagery Can Detect Nitrogen Fertilizer Effects on Biomass and Stand Health of Miscanthus x giganteus

Type: Publication

Themes: Sustainability

Keywords: Field Data, Remote Sensing

Implementing Spatio-Temporal 3D-Convolution Neural Networks and UAV Time Series Imagery to Better Predict Lodging Damage in Sorghum

Type: Publication

Themes: Feedstock Production, Sustainability

Keywords: Remote Sensing

Understanding growth Dynamics and Yield Prediction of Sorghum Using High Temporal Resolution UAV Imagery Time Series and Machine Learning

Type: Publication

Themes: Feedstock Production, Sustainability

Keywords: AI/ML, Field Data, Remote Sensing

STAIR 2.0: A Generic and Automatic Algorithm to Fuse Modis, Landsat, and Sentinel-2 to Generate 10m, Daily, and Cloud-/Gap-Free Surface Reflectance Product

Type: Publication

Themes: Conversion, Sustainability

Keywords: AI/ML, Remote Sensing