Qiang Cao
Orcid: 0000-0003-3733-2968Affiliations:
- Nanjing Agricultural University, National Engineering and Technology Center for Information Agriculture, NETCIA, China
According to our database1,
Qiang Cao
authored at least 24 papers
between 2014 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
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
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014