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

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...

Full description

Bibliographic Details
Main Authors: Rodrigo Gonçalves Trevisan, Natanael Santana Vilanova Júnior, Mateus Tonini Eitelwein, José Paulo Molin
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Agriculture
Subjects:
Online Access:http://www.mdpi.com/2077-0472/8/7/101
id doaj-c33df6dd780d44699ac7f826d7aef7c4
record_format Article
spelling doaj-c33df6dd780d44699ac7f826d7aef7c42021-04-02T03:14:46ZengMDPI AGAgriculture2077-04722018-07-018710110.3390/agriculture8070101agriculture8070101Management of Plant Growth Regulators in Cotton Using Active Crop Canopy SensorsRodrigo Gonçalves Trevisan0Natanael Santana Vilanova Júnior1Mateus Tonini Eitelwein2José Paulo Molin3Precision Agriculture Laboratory, Department of Biosystems Engineering, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba 13418-900, São Paulo, BrazilPrecision Agriculture Laboratory, Department of Biosystems Engineering, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba 13418-900, São Paulo, BrazilPrecision Agriculture Laboratory, Department of Biosystems Engineering, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba 13418-900, São Paulo, BrazilPrecision Agriculture Laboratory, Department of Biosystems Engineering, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba 13418-900, São Paulo, BrazilFactors 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.http://www.mdpi.com/2077-0472/8/7/101ultrasonic sensorsspatial variabilityvariable rate applicationGossypium hirsutum L.
collection DOAJ
language English
format Article
sources DOAJ
author Rodrigo Gonçalves Trevisan
Natanael Santana Vilanova Júnior
Mateus Tonini Eitelwein
José Paulo Molin
spellingShingle Rodrigo Gonçalves Trevisan
Natanael Santana Vilanova Júnior
Mateus Tonini Eitelwein
José Paulo Molin
Management of Plant Growth Regulators in Cotton Using Active Crop Canopy Sensors
Agriculture
ultrasonic sensors
spatial variability
variable rate application
Gossypium hirsutum L.
author_facet Rodrigo Gonçalves Trevisan
Natanael Santana Vilanova Júnior
Mateus Tonini Eitelwein
José Paulo Molin
author_sort Rodrigo Gonçalves Trevisan
title Management of Plant Growth Regulators in Cotton Using Active Crop Canopy Sensors
title_short Management of Plant Growth Regulators in Cotton Using Active Crop Canopy Sensors
title_full Management of Plant Growth Regulators in Cotton Using Active Crop Canopy Sensors
title_fullStr Management of Plant Growth Regulators in Cotton Using Active Crop Canopy Sensors
title_full_unstemmed Management of Plant Growth Regulators in Cotton Using Active Crop Canopy Sensors
title_sort management of plant growth regulators in cotton using active crop canopy sensors
publisher MDPI AG
series Agriculture
issn 2077-0472
publishDate 2018-07-01
description 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.
topic ultrasonic sensors
spatial variability
variable rate application
Gossypium hirsutum L.
url http://www.mdpi.com/2077-0472/8/7/101
work_keys_str_mv AT rodrigogoncalvestrevisan managementofplantgrowthregulatorsincottonusingactivecropcanopysensors
AT natanaelsantanavilanovajunior managementofplantgrowthregulatorsincottonusingactivecropcanopysensors
AT mateustoninieitelwein managementofplantgrowthregulatorsincottonusingactivecropcanopysensors
AT josepaulomolin managementofplantgrowthregulatorsincottonusingactivecropcanopysensors
_version_ 1724173952401539072