Login
Toggle navigation
Home
ICPA
Conference
Abstract Management
Abstract Topic Groups
Author Instructions
Registration
Registration Information
16th ICPA - Conference Registration
Registrants Map
Hotel and Travel Information
Tour
Workshops
Exhibit Hall Map
Sponsors
Conference Program
General Outline
Oral Program
Poster Program
Student Poster Awards
Keynote
Plenary Session
Awards
Photos
Conference Survey
Proceedings
Leadership
ISPA Leadership
Officers
Past Presidents
Officer Responsibilities
Country Representatives
Communities
Community Guidance
On-Farm Experimentation
Nitrogen
Latin America
Economics
African Association for Precision Agriculture
Membership
ISPA Member Benefits
Membership Form
Events
ISPA Events
ACPA
ACPA Proceedings
AfCPA
AfCPA Proceedings
CLAP
CLAP Proceedings
ECPA
ECPA Proceedings
ICPA
ISPA Webinars
OFE
AAPA
Latin American
Robotics and Automation Symposium
Event Overview
Registration
Program
Venue
Speakers
About ISPA
Newsletters
History
Jobs
Precision Ag Definition
Agriculture Course Database Submission
Publications
ICPA Proceedings
ECPA Proceedings
Contact Us
Members
Suggestion Form
Conference
Abstract Management
Abstract Topic Groups
Author Instructions
Registration
Registration Information
16th ICPA - Conference Registration
Registrants Map
Hotel and Travel Information
Tour
Workshops
Exhibit Hall Map
Sponsors
Conference Program
General Outline
Oral Program
Poster Program
Student Poster Awards
Keynote
Plenary Session
Awards
Photos
Conference Survey
Proceedings
Proceedings
Search
Authors
Topics
Years
Types
Find matching any:
Reset
» Add more years
Add filter to result:
Crop Circle Sensor-Based Precision Nitrogen Management Strategy For Rice In Northeast China
1
Q. Cao,
1
Y. Miao,
1
J. Shen,
1
S. Cheng,
2
R. Khosla,
3
F. Liu
1. China Agricultural University
2. Colorado State University
3. Jiansanjiang Institute of Agricultural Sciences
GreenSeeker (GS) sensor-based precision N management strategy for rice has been developed, significantly improved N fertilizer use efficiency. Crop Circle ACS-470 (CC) active sensor is a new user configurable sensor, with a choice of 6 possible bands. The objectives of this study were to identify important vegetation indices obtained from CC sensor for estimating rice yield potential and rice responsiveness to topdressing N application and evaluate their potential improvements over GS normalized difference vegetation index (NDVI) and ration vegetation index (RVI). Two site-years of field N rate experiments were conducted from 2012 to 2013 to evaluate the in-season N requirement prediction developed by Oklahoma State University in Jiansanjiang Experiment Station of China Agricultural University. The GS and CC active canopy sensor with green, red edge and near infrared bands was used to collect rice canopy reflectance data at stem elongation stages. The results indicated that the CC active multispectral canopy sensor had a better performance than GS for estimating rice yield potential and responsiveness to topdressing N application at stem elongation stage. More studies are needed to further evaluate CC sensor-based precision N management strategy as compared with GS active sensor-based precision N management strategy under diverse on-farm conditions.
Keyword
: Precision nitrogen management, Active canopy sensor, Yield potential, Response index, In-season nitrogen management, Site-specific nitrogen management, Rice
Q. Cao
Y. Miao
J. Shen
S. Cheng
R. Khosla
F. Liu
Sensor Application in Managing In-season CropVariability
Oral
2014
Download paper