Assessing various techniques to monitor yield in sugarcane

Jensen, T. A. and Fokkema, B. and Baillie, C. (2011) Assessing various techniques to monitor yield in sugarcane. In: SEAg 2011: Diverse Challenges, Innovative Solutions, 29-30 Sep 2011, Gold Coast, Australia.

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Within the Australian Sugar industry a number of attempts have been made to monitor yield variation across a block. These have ranged from the early yield monitoring systems based on discrete mass measurement, to the current focus of predicting yield via surrogate measurements based on chopper pressure, feed train roller displacement and elevator power. Previous work indicated that the commercially available mass flow sensors did not provide an accurate indication of the yield present in the field.
Rather than testing commercially available sensors, this paper details the testing that was conducted on evaluating the measurement concept. These concepts included; the pressure drop across the elevator and chopper motors, a load cell in the elevator floor and the angle of opening of the top feed roller. These concepts cover those being employed in the commercial units, both past and present.
Trials were conducted during the 2010 season in the Bundaberg district of Queensland. A Campbell Scientific CR3000 datalogger was used to read each of the sensors at 40 Hz and record the averaged value every second, along with the GPS information, fuel usage, temperate etc.. In addition to this sensor data, sugarcane yield was also measured using mill weight data in order to determine the accuracy and resolution of the respective yield monitoring systems. This paper reports on the findings of this work and makes recommendations for further refining the devices and for additional work.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Publisher does not formally support archiving.
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering (Up to 30 Jun 2013)
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering (Up to 30 Jun 2013)
Date Deposited: 28 Dec 2011 22:57
Last Modified: 30 Jun 2017 04:47
Uncontrolled Keywords: precision agriculture; yield monitoring; evaluation; sugarcane
Fields of Research (2008): 07 Agricultural and Veterinary Sciences > 0701 Agriculture, Land and Farm Management > 070105 Agricultural Systems Analysis and Modelling
09 Engineering > 0999 Other Engineering > 099901 Agricultural Engineering
05 Environmental Sciences > 0502 Environmental Science and Management > 050206 Environmental Monitoring
Fields of Research (2020): 30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3002 Agriculture, land and farm management > 300207 Agricultural systems analysis and modelling
40 ENGINEERING > 4099 Other engineering > 409901 Agricultural engineering
41 ENVIRONMENTAL SCIENCES > 4104 Environmental management > 410404 Environmental management
Socio-Economic Objectives (2008): D Environment > 96 Environment > 9606 Environmental and Natural Resource Evaluation > 960607 Rural Land Evaluation

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