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Development of algorithm for variable nitrogen rate application in cotton crop by implementing tractor mounted nitrogen sensor.

Authors :
Dewan, Gaurav
Singh, Manjeet
Sharma, Ankit
Source :
Journal of Plant Nutrition. 2023, Vol. 46 Issue 20, p4735-4753. 19p.
Publication Year :
2023

Abstract

To produce cotton, growers must regulate nitrogen (N) during the growing season, which is one of the most essential considerations. Any new methods, techniques, or technologies that might help farmers regulate N, a crucial choice in crop productivity, will be of great use to them. In the present study, by utilizing tractor-mounted nitrogen sensor (TMNS) technology, field experiments were conducted to design an algorithm for variable nitrogen rate application for cotton crop varieties V1 (NCS 855 BG-II) and V2 (RCH 773 BG-II). Under node formation, fruit squaring, squaring, early, mid, peak flowering, and maturity crop growth stages, relationships between the attributes of TMNS and variable nitrogen application rate (VNAR) were also created for V1 and V2. The coefficient of determination between NDVI and N content (%) in leaves was 0.933 and 0.711 at the mid-flowering stage for varieties V1 and V2, respectively. Both varieties differ significantly in their N response, with mid-flowering (76 DAS) being a crucial growth period. So, algorithms were developed for converting sensor sufficiency index values to N application rates for V1 and V2 at the mid-flowering stage. For cultivars V1 and V2, the crucial sensor-based sufficiency index thresholds for initiating VNAR were 0.960 and 0.860, respectively. The developed mid-blooming phase algorithms were useful to predict mid-season N-application rates for cotton crops. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01904167
Volume :
46
Issue :
20
Database :
Academic Search Index
Journal :
Journal of Plant Nutrition
Publication Type :
Academic Journal
Accession number :
172995348
Full Text :
https://doi.org/10.1080/01904167.2023.2241873