Updated:2024-02-27
    • Comparison of sugarcane leaf chlorophyll prediction models based on full and dual reflected spectral bands

    • CHEN Xiao , LI Xiuhua , WANG Ce , ZHOU Yonghua , DING Yongjun , NONG Mengling , AI Jiaoyan
    • Journal of China Agricultural University Vol. 23, Issue 8, (2018)
    • DOI: 10.11841/j.issn.1007-4333.2018.08.13     

      CLC:

    Scan QR Code

  •  
  •  
  • Full Text(HTML)

  • References

  • Publication Info

  • Metrics

Sections
icon
The trial reading is over, you can activate your VIP account to continue reading.
Deactivate >
icon
The trial reading is over. You can log in to your account, go to the personal center, purchase VIP membership, and read the full text.
Already a VIP member?
Log in >

2

Views

7

Downloads

2

CSCD

Alert me when the article has been cited
Submit
Tools
  • BibTeXDownload
  • EndnoteDownload
  • RefMan Download
  • NoteExpressDownload
  • NoteFirstDownload

Related Articles

Response of Caand Ca-ATPase activity in the stem tipof sugarcane to low temperature stress
Fault diagnosis of greenhouse sensors nodes based on timeseries and neural network
Research on the early-warning model of vegetable pesticide residues based on a neural network
Response of chilling stress on root morphology and protection systems of sugarcane seedlings
Impact of full-cost insurance policy and crop revenue insurance on grain production resilience

Related Author

LIANG Zao zhou
HAN Chun-wang
LI Yang-rui
LI Zhi-gang
YANG Li-Tao
LI Su-li
LIU Gang
WANG Jun

Related Institution

Guangxi Crop Genetic Improvement and Biotechnology Lab,Guangxi Academy of Agricultural Sciences
Sugarcane Research Center,Chinese Academy of Agricultural Sciences
Agricultural College/Guangxi Key Laboratory of Subtropical Bioresources Conservation and Utilization,Guangxi University
College of Vehicle & Motive Power Engineering, Henan University of Science and Technology
College of Information and Electrical Engineering/Key Laboratory of Modern Precision Agricultural System Integrationof Education Ministry, China Agricultural University