The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 24, 2020

Filed:

Dec. 27, 2016
Applicant:

Nanjing Agricultural University, Nanjing, CN;

Inventors:

Jun Ni, Nanjing, CN;

Lili Yao, Nanjing, CN;

Yan Zhu, Nanjing, CN;

Weixing Cao, Nanjing, CN;

Xia Yao, Nanjing, CN;

Yongchao Tian, Nanjing, CN;

Fang Liu, Nanjing, CN;

Fangrong Pang, Nanjing, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 21/31 (2006.01); B64C 39/02 (2006.01); G01N 33/00 (2006.01); G01N 21/84 (2006.01);
U.S. Cl.
CPC ...
G01N 21/314 (2013.01); B64C 39/024 (2013.01); G01N 21/31 (2013.01); G01N 33/0098 (2013.01); B64C 2201/024 (2013.01); B64C 2201/12 (2013.01); G01N 2021/317 (2013.01); G01N 2021/3181 (2013.01); G01N 2021/8466 (2013.01); G01N 2201/0214 (2013.01);
Abstract

A crop growth monitoring device based on multi-rotor unmanned aerial vehicle platform includes a multi-rotor unmanned aerial vehicle, a payload and a ground receiver; the payload part includes a multispectral crop growth sensor module, a signal amplification module, a controller module, a wireless data transmission module, and a power module for power supply and a power supply control module, which are connected in sequence; further comprising a gimbal. The crop growth monitoring device based on the multi-rotor unmanned aerial vehicle platform overcomes the influence on measurement caused by the down-wash flow field of the unmanned aerial vehicle, and can transmit the measured data to the ground receiver in real time for online analysis and processing, realizing continuous, real-time, convenient and large-scope acquisition of crop growth information.


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