Qiang Cao

Orcid: 0000-0003-3733-2968

Affiliations:
  • Nanjing Agricultural University, National Engineering and Technology Center for Information Agriculture, NETCIA, China


According to our database1, Qiang Cao authored at least 26 papers between 2014 and 2024.

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Bibliography

2024
Investigating data-driven approaches to optimize nitrogen recommendations for winter wheat.
Comput. Electron. Agric., 2024

Multi-source data fusion improved the potential of proximal fluorescence sensors in predicting nitrogen nutrition status across winter wheat growth stages.
Comput. Electron. Agric., 2024

2023
Improving yield prediction based on spatio-temporal deep learning approaches for winter wheat: A case study in Jiangsu Province, China.
Comput. Electron. Agric., October, 2023

Optimizing rice in-season nitrogen topdressing by coupling experimental and modeling data with machine learning algorithms.
Comput. Electron. Agric., June, 2023

2022
Developing an Active Canopy Sensor-Based Integrated Precision Rice Management System for Improving Grain Yield and Quality, Nitrogen Use Efficiency, and Lodging Resistance.
Remote. Sens., 2022

Improving wheat yield prediction integrating proximal sensing and weather data with machine learning.
Comput. Electron. Agric., 2022

Advances in the estimations and applications of critical nitrogen dilution curve and nitrogen nutrition index of major cereal crops. A review.
Comput. Electron. Agric., 2022

2021
Evaluation of Three Portable Optical Sensors for Non-Destructive Diagnosis of Nitrogen Status in Winter Wheat.
Sensors, 2021

Combining texture, color, and vegetation indices from fixed-wing UAS imagery to estimate wheat growth parameters using multivariate regression methods.
Comput. Electron. Agric., 2021

AGTOC: A novel approach to winter wheat mapping by automatic generation of training samples and one-class classification on Google Earth Engine.
Int. J. Appl. Earth Obs. Geoinformation, 2021

2020
A Comparative Assessment of Measures of Leaf Nitrogen in Rice Using Two Leaf-Clip Meters.
Sensors, 2020

Using an Active Sensor to Develop New Critical Nitrogen Dilution Curve for Winter Wheat.
Sensors, 2020

Use of an Active Canopy Sensor Mounted on an Unmanned Aerial Vehicle to Monitor the Growth and Nitrogen Status of Winter Wheat.
Remote. Sens., 2020

Wheat Growth Monitoring and Yield Estimation based on Multi-Rotor Unmanned Aerial Vehicle.
Remote. Sens., 2020

2019
Using a Portable Active Sensor to Monitor Growth Parameters and Predict Grain Yield of Winter Wheat.
Sensors, 2019

Predicting Rice Grain Yield Based on Dynamic Changes in Vegetation Indexes during Early to Mid-Growth Stages.
Remote. Sens., 2019

Estimation of Rice Growth Parameters Based on Linear Mixed-Effect Model Using Multispectral Images from Fixed-Wing Unmanned Aerial Vehicles.
Remote. Sens., 2019

Combining Color Indices and Textures of UAV-Based Digital Imagery for Rice LAI Estimation.
Remote. Sens., 2019

In-Season Diagnosis of Rice Nitrogen Status Using Proximal Fluorescence Canopy Sensor at Different Growth Stages.
Remote. Sens., 2019

2018
Evaluation of One-Class Support Vector Classification for Mapping the Paddy Rice Planting Area in Jiangsu Province of China from Landsat 8 OLI Imagery.
Remote. Sens., 2018

Detecting Rice Blast Disease Using Model Inverted Biochemical Variables from Close-Range Reflectance Imagery of Fresh Leaves.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Comparison RGB Digital Camera with Active Canopy Sensor Based on UAV for Rice Nitrogen Status Monitoring.
Proceedings of the 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), 2018

2017
Using an Active-Optical Sensor to Develop an Optimal NDVI Dynamic Model for High-Yield Rice Production (Yangtze, China).
Sensors, 2017

Potential of RapidEye and WorldView-2 Satellite Data for Improving Rice Nitrogen Status Monitoring at Different Growth Stages.
Remote. Sens., 2017

2015
Active canopy sensing of winter wheat nitrogen status: An evaluation of two sensor systems.
Comput. Electron. Agric., 2015

2014
In-Season Estimation of Rice Nitrogen Status With an Active Crop Canopy Sensor.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014


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