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Full-Text Articles in Life Sciences
Nozzle Sensor For In-System Chemical Concentration Monitoring, Joseph S. Dvorak, Timothy S. Stombaugh, Yongbo Wan
Nozzle Sensor For In-System Chemical Concentration Monitoring, Joseph S. Dvorak, Timothy S. Stombaugh, Yongbo Wan
Biosystems and Agricultural Engineering Faculty Publications
Chemical concentration is a vital parameter for determining appropriate chemical application. This study describes the design and testing of a sensor that attempted to monitor concentration of chemicals upstream from each nozzle body. The sensor is based on an LED and photodiode pair. Its ability to detect chemical concentration within the main carrier was tested with a 2,4-D formulation, a glyphosate formulation, and a powdered Acid Blue 9 dye. The liquid herbicide formulations of glyphosate and 2,4-D were tested across common application concentrations of 0% to 12.5% by volume. The powdered dye produced a much stronger effect on the sensor …
Monitoring Yogurt Culture Fermentation And Predicting Fermentation Endpoint With Fluorescence Spectroscopy, Timothey P. Mains, Frederick Alan Payne, Michael P. Sama
Monitoring Yogurt Culture Fermentation And Predicting Fermentation Endpoint With Fluorescence Spectroscopy, Timothey P. Mains, Frederick Alan Payne, Michael P. Sama
Biosystems and Agricultural Engineering Faculty Publications
Determination of the endpoint of yogurt culture fermentation is a process parameter that could benefit from automation. The feasibility of using a fluorescence sensor technology based on 280 nm excitation and 350 nm emission to predict the endpoint of yogurt culture fermentation was investigated and compared with the endpoint prediction from a near-infrared (880 nm) light backscatter sensor. Yogurt cultures with three levels of milk solids (8%, 10%, and 12%) and three temperatures (40°C, 43°C, and 46°C) were tested with three replications in a 3 x 3 factorial design (n = 27). Prediction models were developed for each optical measurement …
An Optical Sprayer Nozzle Flow Rate Sensor, Joseph S. Dvorak, Luke E. Bryant
An Optical Sprayer Nozzle Flow Rate Sensor, Joseph S. Dvorak, Luke E. Bryant
Biosystems and Agricultural Engineering Faculty Publications
Ensuring proper flow rates from each nozzle on an agricultural sprayer has become even more important as advances continue to be made in precision application technology. In this article, we describe the structure and testing of a sensor technology based on optical cross-correlation to determine the flow rate of individual sprayer nozzles. An advantage of this technology is that it does not require that impellers or other components be placed in the flow, which could cause plugging. The only moving part in the entire system is a solenoid used to inject a tracer dye. The objective of this study was …
Light Backscatter Of Milk Products For Transition Sensing Using Optical Fibers, Frederick A. Payne, Czarena L. Crofcheck, Sue E. Nokes, Klat C. Kang
Light Backscatter Of Milk Products For Transition Sensing Using Optical Fibers, Frederick A. Payne, Czarena L. Crofcheck, Sue E. Nokes, Klat C. Kang
Biosystems and Agricultural Engineering Faculty Publications
Transition sensors are needed, particularly in the dairy industry, for detecting transitions in pipe flow systems from product-to-water or product-to-product (such as from chocolate to vanilla ice cream mix). Transition information is used to automatically sequence valves to minimize product waste. Optical fibers were used to measure light backscatter between 400 and 950 nm as a function of milk concentration in water and milkfat concentration in milk. The normalized response (100% for product and 0% for water) as a function of product concentration in water was approximately logarithmic for skim milk between 400 and 900 nm and approximately linear for …
Predicting The Cutting Time Of Cottage Cheese Using Backscatter Measurements, Czarena L. Crofcheck, Frederick A. Payne, Sue E. Nokes
Predicting The Cutting Time Of Cottage Cheese Using Backscatter Measurements, Czarena L. Crofcheck, Frederick A. Payne, Sue E. Nokes
Biosystems and Agricultural Engineering Faculty Publications
An automated system for monitoring culture growth and determining coagulum cutting time is needed for cottage cheese manufacturing. A light backscatter measurement system was designed and installed in a local cottage cheese manufacturing plant. A cutting time prediction algorithm was developed using parameters generated from the backscatter profile. The cutting time prediction algorithm, Tcut = Tmax + β2 S, used two time-based parameters generated from the backscatter profile (Tmax and S) and one operator selected parameter, β2, to predict the coagulum cutting time, Tcut. The standard error of prediction for the algorithm was 6.4 …
Diffuse Reflectance Changes During The Culture Of Cottage Cheese, Frederick Alan Payne, R. Carol Freels, Sue E. Nokes, Richard S. Gates
Diffuse Reflectance Changes During The Culture Of Cottage Cheese, Frederick Alan Payne, R. Carol Freels, Sue E. Nokes, Richard S. Gates
Biosystems and Agricultural Engineering Faculty Publications
A sensor for measuring diffuse reflectance of milk during the typical 6-h culture of cottage cheese was installed in a local manufacturing facility. Diffuse reflectance was found to increase slowly during the first three hours of the culture and increase rapidly toward the end of fermentation. The correlation between parameters generated from the diffuse reflectance profile and cutting time was sufficient to develop an algorithm for cutting time prediction. An algorithm incorporating tmax (time from adding culture to the maximum rate of change in reflectance) and slope of the reflectance curve at tmax predicted the operator selected cutting …