Chong Gao

ORCID: 0000-0001-8506-0907
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About
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Research Areas
  • Spectroscopy and Chemometric Analyses
  • Smart Agriculture and AI
  • Ionic liquids properties and applications
  • Soybean genetics and cultivation
  • Plant Disease Management Techniques
  • Soil Mechanics and Vehicle Dynamics
  • Microgrid Control and Optimization
  • Power Systems and Renewable Energy
  • Water Quality Monitoring and Analysis
  • Hybrid Renewable Energy Systems
  • Advanced Manufacturing and Logistics Optimization
  • Transportation and Mobility Innovations
  • Leaf Properties and Growth Measurement
  • Integrated Energy Systems Optimization
  • Plant Stress Responses and Tolerance
  • Crop Yield and Soil Fertility
  • Advanced Vision and Imaging
  • Microbial Fuel Cells and Bioremediation
  • Magnetic and Electromagnetic Effects
  • Metal Extraction and Bioleaching
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Remote Sensing and Land Use
  • Phytochemicals and Antioxidant Activities
  • Nanocomposite Films for Food Packaging
  • Safety and Risk Management

Shandong Agricultural University
2016-2022

University of Shanghai for Science and Technology
2021

Municipality of Tai'an
2020

Chang'an University
2018

Nanjing Agricultural University
2009

Henan Academy of Agricultural Sciences
2009

10.1016/j.saa.2022.121016 article EN Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy 2022-02-08

It is a challenging problem to detect the apple in natural environment using traditional object recognition algorithms due occlusion, fluctuating illumination and complex backgrounds. Deep learning methods for detection make impressive progress, which can automatically extract number, pixel position, size other features of apples from images. In this paper, four deep models, Faster RCNN based on AlexNet, ResNet101, YOLOv3 DarkNet53 improved were employed carry out experiments red green under...

10.1109/access.2020.3040423 article EN cc-by-nc-nd IEEE Access 2020-01-01

Portable hyperspectral imaging was used for field and indoor spectra acquisition of the strawberries at three ripeness stages: ripe, mid-ripe unripe. The mean were pre-processed by multiplicative scatter correction (MSC). Principal component analysis (PCA) employed to generate score plots visualize images differentiating specific grouping samples. Three methods, including X-loading weight, competitive adaptive reweighted sampling (CARS) successive projections algorithm (SPA), applied extract...

10.1080/00032719.2020.1812622 article EN Analytical Letters 2020-08-27

Visible and near infrared (Vis-NIR) hyperspectral imaging was used for fast detection visualization of soluble solid content (SSC) in 'Beijing 553' 'Red Banana' sweet potatoes. Hyperspectral images were acquired from 420 ROIs each cultivar sliced There 8 10 outliers removed potatoes by Monte Carlo partial least squares (MCPLS). The optimal spectral pretreatments determined to enhance the performance prediction model. Successive projections algorithm (SPA) competitive adaptive reweighted...

10.1039/c9ra10630h article EN cc-by RSC Advances 2020-01-01

In order to improve the adaptability of seedling feeding devices different plug trays for various seedlings, a multi-adaptive device automatic field transplantation was developed. Its efficiency and have been improved using delivery equipped with row end-effectors, which were provided continuous seedlings by compact tray conveyor carrying out reciprocating action. Each operation could work automatically through control system. Three categories cucumber, pepper tomato tested. The results...

10.25165/j.ijabe.20211402.6003 article EN cc-by International journal of agricultural and biological engineering 2021-01-01

Hyperspectral imaging was applied to classify the damaged wheat kernels and healthy kernels. The spectral information extracted from samples. effective wavelengths were obtained of 865-1711 nm by X-loadings principal component analysis (PCA) successive projection algorithm (SPA) method, respectively. Partial least square method (PLS) square-support vector machine (LS-SVM) then used build classification models on full data dataset, results showed that accuracy every LS-SVM model best, being...

10.25165/j.ijabe.20201305.4413 article EN cc-by International journal of agricultural and biological engineering 2020-01-01

In order to improve the adaptability of seedling feeding devices different plug trays for various seedlings, a multi-adaptive device automatic field transplantation was developed. Its efficiency and have been improved using delivery equipped with row end-effectors, which were provided continuous seedlings by compact tray conveyor carrying out reciprocating action. Each operation could work automatically through control system. Three categories cucumber, pepper tomato tested. The results...

10.25165/ijabe.v14i2.6003 article EN 2021-04-03

Hyperspectral imaging was applied to classify the damaged wheat kernels and healthy kernels. The spectral information extracted from samples. effective wavelengths were obtained of 865-1711 nm by X-loadings principal component analysis (PCA) successive projection algorithm (SPA) method, respectively. Partial least square method (PLS) square-support vector machine (LS-SVM) then used build classification models on full data dataset, results showed that accuracy every LS-SVM model best, being...

10.25165/ijabe.v13i5.4413 article EN 2020-10-13

Addressing on monocular visual odometry problem, this paper presents a novel end-to-end network for estimation of camera ego-motion. The learns the latent space optical flow (OF) and models sequential dynamics so that motion is constrained by relations between images. We compute OF field consecutive images extract representation in self-encoding manner. A Recurrent Neural Network then followed to examine changes, i.e., conduct learning. extracted used regression 6-dimensional pose vector....

10.1109/icra48506.2021.9562074 article EN 2021-05-30

Intelligent shuttle bus scheduling is one of the main development trend urban public transportation in future. In operation and management, we usually make buses' plan stations according to traffic demand during morning evening peak periods. this paper, firstly, use intelligent system predict exact time next arrive at certain stations. Then, based on interests passengers, cost passengers are formulated as objective function model transport developed. Finally, a genetic-newton algorithm used...

10.1061/9780784480915.177 article EN CICTP 2021 2018-01-18
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