Next Article in Journal
Aflatoxins in Mozambique: Impact and Potential for Intervention
Next Article in Special Issue
Practical Applications of a Multisensor UAV Platform Based on Multispectral, Thermal and RGB High Resolution Images in Precision Viticulture
Previous Article in Journal
Durum Wheat Breeding: In the Heat of the Senegal River
Previous Article in Special Issue
Satellite and Proximal Sensing to Estimate the Yield and Quality of Table Grapes
Article Menu
Issue 7 (July) cover image

Export Article

Open AccessFeature PaperArticle
Agriculture 2018, 8(7), 101; https://doi.org/10.3390/agriculture8070101

Management of Plant Growth Regulators in Cotton Using Active Crop Canopy Sensors

Precision Agriculture Laboratory, Department of Biosystems Engineering, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba 13418-900, São Paulo, Brazil
*
Author to whom correspondence should be addressed.
Received: 1 June 2018 / Revised: 24 June 2018 / Accepted: 25 June 2018 / Published: 2 July 2018
(This article belongs to the Special Issue Precision Agriculture)
Full-Text   |   PDF [7648 KB, uploaded 2 July 2018]   |  

Abstract

Factors affecting cotton development present spatial and temporal variability. Plant growth regulators (PGR) are used to control vegetative growth, promote higher yields, better fiber quality, and facilitate mechanical harvest. The optimal rate of PGR application depends on crop height, biomass, and growth rate. Thus, the objective of this study was to evaluate optical and ultrasonic crop canopy sensors to detect the crop spatial variability in cotton fields, and to develop strategies for using this information to perform variable rate application (VRA) of PGR in cotton. Field trials were conducted in Midwest Brazil during the 2013/2014 and 2014/2015 crop seasons. Two optical and two ultrasonic active crop canopy sensors were evaluated as tools to detect crop variability. On-farm trials were used to develop and validate algorithms for VRA based on within-field variations in crop response to PGR applications. The overall performance of the sensors to predict crop height and the accumulation of biomass in cotton was satisfactory. Short distance variability was predominant in some fields, reducing the performance of the sensors while making current technology for variable rate application of PGR inadequate. In areas with large scale variability, the VRA led to 17% savings in PGR products and no significant effect on yield was observed. Ultrasonic sensors present can be a low-cost alternative to implement variable rate application of PGR in real time. View Full-Text
Keywords: ultrasonic sensors; spatial variability; variable rate application; Gossypium hirsutum L. ultrasonic sensors; spatial variability; variable rate application; Gossypium hirsutum L.
Figures

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Supplementary material

SciFeed

Share & Cite This Article

MDPI and ACS Style

Trevisan, R.G.; Vilanova Júnior, N.S.; Eitelwein, M.T.; Molin, J.P. Management of Plant Growth Regulators in Cotton Using Active Crop Canopy Sensors. Agriculture 2018, 8, 101.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Agriculture EISSN 2077-0472 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top