Estimation of Leaf Area Index and Above-Ground Biomass of Winter Wheat Based on Optimal Spectral Index

Estimation of Above-Ground Biomass of Winter Wheat Based on Consumer-Grade Multi-Spectral UAV

(2022) Falv Wang et al.   Remote Sensing

Combining Spectral and Textural Information from UAV RGB Images for Leaf Area Index Monitoring in Kiwifruit Orchard

(2022) Youming Zhang et al.   Remote Sensing

Silage Grass Sward Nitrogen Concentration and Dry Matter Yield Estimation Using Deep Regression and RGB Images Captured by UAV

(2022) Raquel Alves Oliveira et al.   Agronomy-Basel

Leaf area index estimation model for UAV image hyperspectral data based on wavelength variable selection and machine learning methods

(2021) Juanjuan Zhang et al.   Plant Methods

Wheat Growth Monitoring and Yield Estimation based on Multi-Rotor Unmanned Aerial Vehicle

(2020) Zhaopeng Fu et al.   Remote Sensing

A Mixed Data-Based Deep Neural Network to Estimate Leaf Area Index in Wheat Breeding Trials

(2020) Orly Enrique Apolo-Apolo et al.   Agronomy-Basel

Estimating the Protein Concentration in Rice Grain Using UAV Imagery Together with Agroclimatic Data

(2020) Akira Hama et al.   Agronomy-Basel

Evaluation of image processing technique as an expert system in mulberry fruit grading based on ripeness level using artificial neural networks (ANNs) and support vector machine (SVM)

(2020) Hossein Azarmdel et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Estimating nitrogen status of rice canopy using hyperspectral reflectance combined with BPSO-SVR in cold region

(2018) Kezhu Tan et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Application of fractional-order derivative in the quantitative estimation of soil organic matter content through visible and near-infrared spectroscopy

(2018) Yongsheng Hong et al.   GEODERMA

Specular reflection in the signal of LAI-2000 plant canopy analyzer

(2016) Andres Kuusk   AGRICULTURAL AND FOREST METEOROLOGY

Informative spectral bands for remote green LAI estimation in C3 and C4 crops

(2016) Oz Kira et al.   AGRICULTURAL AND FOREST METEOROLOGY