Using ICT technology on dairy farm for precision management
Using online automatic milk analyzer on milking machine record milk yield and protein%, fat%, lactose %, somatic cell count and residual blood in milk of all individual milking cows. After finishing milking of the whole herd individual cows, milk composition and quality reports are available for warning with red font immediate for herdsman to review of the herd feeding practices and nutrient disorders, sub-clinic ketosis and sub-clinic mastitis. Also using infrared thermometer to measure and to collect the cow’s body surface temperature. Comparing with actual rectal temperature of cows’, exploring the regression with various parts of the cow’s surface temperature to predict the actual cow’s body temperature and then judge the cow’s body temperature if it is normal, or high with inflammation or in fever symptoms. Gradually collecting the data and establishing data base to develop the automatic monitoring and analysis system for dairy farmers. It would be very prompted and convenient to collect cow’s milk composition and quality, body weight, body temperature, and other relevant information. Using real-time information for precise feeding and management of individual cows in the dairy herd to early detect the problem individual cow and immediately take the necessary practices for improvement.
Results of comparison testing of raw milk component
examined by instrument
A comparison testing was held in July 2013 by Hsin Chu Branch in order to understand the analytical competence of the joined laboratories for raw cow milk component. A total of 17 laboratories participated in the test, including Hsin Chu Branch and 16 laboratories from local dairy plant. The analytical results were analyzed using Robust-Z statistics into three grading categories as follows: |Z| score ≤ 2 as satisfactory, 2 < | Z | < 3 as ‘acceptable’ and | Z | ≥ 3 as ‘unsatisfactory’. According milk fat test, 12, 3 and 2 laboratories were graded as satisfactory, acceptable, and unsatisfactory, respectively. Unsatisfactory percentage was 11.8%. And according milk protein test, 14 and 3 laboratories were graded as satisfactory and acceptable, respectively. And according lactose test, 11, 3 and 1 laboratories were graded as satisfactory, acceptable, and unsatisfactory, respectively. Unsatisfactory percentage was 6.7%. According milk solids non fat test, 12 and 5 laboratories were graded as satisfactory and unsatisfactory, respectively. Unsatisfactory percentage was 29.4%. According milk total solids test, 11 and 3 laboratories were graded as satisfactory and unsatisfactory, respectively. Unsatisfactory percentage was 21.4%. According milk somatic cell count test, 8, 1 and 2 laboratories were graded as satisfactory, acceptable, and unsatisfactory, respectively. Unsatisfactory percentage was 18.1%. Laboratories graded in the category of unsatisfactory were mandated to provide a report of correction, as well as were requested to take the second test. Laboratories are expected to consistently improve their quality control system through this comparison testing routine.
(S. J. Lee and C. L. Chang)
Developing a paperless electronic logbook for animal management events
The paperless electronic logbook is a software system joining the radio frequency identification technology (RFID) with the traditional barcode to provide a simple and accurate the paperless recording method for animal routine management events. The main tool of the logbook is a multi-frequency RFID handheld reader which has a barcode reader included. Event information, the "who", "what", "when", "where", and "which", is recorded in RFID reader as the events going on and data can be transferred into a computer later. Duplicated data can be deleted and the program provides sorting and searching functions of "who", "what", "when", "where", and "which" categories. The results showed that the use of multi-frequency RFID handheld, RFID tags and barcodes which had the opportunity to save time and cost, and to improve the accuracy of event recording, if compared with traditional manual entry. The goal of using low-cost devices to recording event information of animal management, the "who", "what", "when", "where", and "which" information can be reached, and the experimental data, medication data and routine management recordings can be driven into a paperless automated workflows.
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