Monitoring maize canopy chlorophyll density under lodging stress based on UAV hyperspectral imagery

The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation

(2021) Davide Chicco et al.   PeerJ Computer Science

Green light promotes healing and root regeneration in double-root-cutting grafted tomato seedlings

(2021) Fenghua Li et al.   SCIENTIA HORTICULTURAE

Agroview: Cloud-based application to process, analyze and visualize UAV-collected data for precision agriculture applications utilizing artificial intelligence

(2020) Yiannis Ampatzidis et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Quantifying Lodging Percentage and Lodging Severity Using a UAV-Based Canopy Height Model Combined with an Objective Threshold Approach

(2019) Norman Wilke et al.   Remote Sensing

UAV-Based High Throughput Phenotyping in Citrus Utilizing Multispectral Imaging and Artificial Intelligence

(2019) Yiannis Ampatzidis et al.   Remote Sensing

Advantages of retrieving pigment content [μg/cm2] versus concentration [%] from canopy reflectance

(2019) Teja Kattenborn et al.   REMOTE SENSING OF ENVIRONMENT

Use of Unmanned Aerial Vehicle Imagery and Deep Learning UNet to Extract Rice Lodging

(2019) Zhao et al.   SENSORS

Retrieving LAI, chlorophyll and nitrogen contents in sugar beet crops from multi-angular optical remote sensing: Comparison of vegetation indices and PROSAIL inversion for field phenotyping

(2017) Sylvain Jay et al.   FIELD CROPS RESEARCH

Quantifying lodging-induced yield losses in oilseed rape

(2017) S.L. Kendall et al.   FIELD CROPS RESEARCH

Predicting yield losses caused by lodging in wheat

(2012) P.M. Berry et al.   FIELD CROPS RESEARCH

Measuring and predicting canopy nitrogen nutrition in wheat using a spectral index—The canopy chlorophyll content index (CCCI)

(2010) Glenn Fitzgerald et al.   FIELD CROPS RESEARCH

New spectral indicator assessing the efficiency of crop nitrogen treatment in corn and wheat

(2010) Pengfei Chen et al.   REMOTE SENSING OF ENVIRONMENT