UAV-based Digital Field Phenotyping for Crop Nitrogen Estimation using RGB Imagery-Reference-Cited by-同舟云学术

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UAV-based Digital Field Phenotyping for Crop Nitrogen Estimation using RGB Imagery

Published:2023-05-19 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET)
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Author:

Patil Suchitra M¹,Choudhary Sunita²,Kholová Jana²,Anbazhagan Krithika²,Parnandi Yogesh²,Gattu Priyanka³,Mallayee Srikanth²,KSVV Prasad⁴,Kumar V Padma⁴,Rajalakshmi P³,Chandramouli Magesh⁵,Adinarayana J¹

Affiliation:

1. Indian Institute of Technology Bombay Powai,Centre of Studies in Resources Engineering,Mumbai,Maharashtra,India,400076

2. International Crops Research Institute for the Semi-Arid Tropics (ICRISAT),Crop Physiology and Modeling,Patancheru,Telangana,India,502 324

3. Indian Institute of Technology,Hyderabad, Kandi,Telangana,India,502285

4. International Livestock Research Institute,Patancheru,Telangana,India,502324

5. Purdue University NW,Computer Graphics Technology,Hammond,IN,USA,46323

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10149892/10149896/10150110.pdf?arnumber=10150110

Reference44 articles.

1. A global moderate resolution dataset of gross primary production of vegetation for 2000–2016

2. Scale Invariant Feature Transform

3. Genetic Engineering and Breeding of Drought-Resistant Crops

4. Unique accuracy boosts yield using DS2500 for flour analysis;dkshgroup,0

5. Nitrogen economy in relay intercropping systems of wheat and cotton;zhang;Plant and Soil,2007

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