• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2016.05a
• /
• pp.594-597
• /
• 2016

Smart agriculture and livestock is one of convergence technology which is combined smart technology based on ICT(Information and Communication Technology) and all processes of agriculture and livestock. Sensor data technology in smart agriculture and livestock is considered with important factor as base technology for measurement and collection of environment condition, management of product quality status. In this paper, Sensor technology and standardization trend for smart agriculture and livstock is investigated. Results of this study can be used as basic data for smart agriulture and livestock standardization which is curently under proecssing at domestic and abroad.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2008.05a
• /
• pp.401-404
• /
• 2008

In livestock, diagnosis of disease is found on body temperature variation like a human. In case of cattle, body temperature variation can estimate disease that milk fever, toxication, diarrhea, dyspepsia, chronic enteritis, influenza, pneumonia, anthrax. So we are suggested the temperature measurement system for livestock. This system will be useful to a stock farmer and alternative that a worker.

• IEMEK Journal of Embedded Systems and Applications
• /
• v.7 no.6
• /
• pp.301-309
• /
• 2012

In this paper, a real-time monitoring system based on WSN is designed and implemented to monitor livestock growth environment information which includes the temperature, humidity and harmful gases such as $CO_{2},\;CO,\;NH_{3},\;H_{2}S$ and so on. The proposed system consists of the wireless sensor nodes, the monitoring management device, the management server and the user interface program based on PC/Smart phone. To verify the performance of the implemented system, gas measurement experiments are performed in laboratory environment by using the designed wireless sensor nodes. And it is able to estimate the concentration of gases. The implemented system is able to monitor the proposed environmental element information through the developed GUI.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.49 no.9
• /
• pp.314-321
• /
• 2012

Harmful gases which are generated from various rout at growth environment of livestock ban have a direct and indirect bad influence to the livestock and farmers, and also step-up breeding density and long-term exposure to the sealed environment of winter can be fatal. In this paper, we propose a gas measurement system for monitoring gases of ammonia, hydrogen sulfide, volatile organic compounds, etc. which arise from the muck. The measurement system consist of both wireless gas sensor node and gas recognition software using a Fuzzy Min-Max neural network. To evaluate the performance of suggested system, gas measurement experiments are performed in laboratory environment by using the designed wireless gas sensor node. And we show the performance through classification test for the target gases by the designed gas recognition software.

• KSBB Journal
• /
• v.23 no.4
• /
• pp.317-322
• /
• 2008

The Biochemical Oxygen Demand(BOD) is one of important parameters for the most widely used method of organic pollution in wastewater and wastewater treatment effluent. As the conventional BOD test needs 5-day long incubation period, it is thus incompatible with real time control of wastewater treatment plant. To resolve this problem, in the present study an on-line Dissolved Oxygen(DO) monitoring system was used to observe the transient change of dissolved oxygen concentration in livestock wastewater. The system was composed of BOD sensor, amplifier and computer. It was observed that the concentration of the microorganism in the livestock wastewater was relatively constant during the growth period of initial one hour, which allowed the assumption of the constant Oxygen Uptake Rate(OUR) within one hour of measurement. It was thus concluded that the present scheme provided a protocol for automatic measurement of BOD in livestock wastewater, which can be applicable to optimal control of livestock wastewater treatment plant.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.22 no.12
• /
• pp.1611-1617
• /
• 2018

The body temperature of livestock is directly related to the health of livestock such that it changes immediately when there exists health problem. Accordingly, the monitoring of livestock's temperature is one of most important tasks in farm management. However, the temperature of livestock is usually measured using skin-attached sensor which is significantly affected by the outside temperature and the condition of attachment which results in the inaccurate measurement of temperature. Herein we have proposed new scheme which estimates the body core temperature of cow based on measured data from neck-attached smart sensor. Especially, we have considered both schemes which estimate the exact temperature and which detect the unusually high temperature based on machine learning. We have found that the occurrence of high temperature can be detected accurately. The proposed scheme can be used in monitoring of health condition of cow and improving the efficiency of farm management.

• The Journal of the Korea Contents Association
• /
• v.13 no.12
• /
• pp.27-37
• /
• 2013

Today, livestock industry grows faster and bigger. The number of livestock numbers per farm also grows rapidly. The bigger farms need more sophisticated control of livestock to prevent from all possible diseases, especially contagious diseases. In Korea, diseases cause serious economic loss of 2 trillion won every year, which is about 20% of the total production output. Researches on the wireless bio-signal monitoring technology for livestock are of great importance in the world. In this paper, as a way to predict the possible diseases, we propose a measurement method of the pulse of dairy cows for the continuous health monitoring. It is possible to measure a pulse from central artery and the left chest-wall of the cow. The pulse from central artery is measured by the sensor attached at the tail winding. The pulse at the left chest-wall can also be measured with our newly designed harness.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.10 no.5
• /
• pp.442-454
• /
• 2017

As the demand for meat products has steadily increased in Korea, so the livestock industry has full grown. However, the opening of import meat products is taking a toll on the local industry. Cost reduction on livestock feed, which comprises the majority of costs involved in the industry is urgent to gain a competitive edge. As Internet of Things (IoT) technologies are being applied across a multiple of industries, so are the cases of applied Smart Farm technology for efficient production. The following research aims to utilize IoT technologies to measure, in real time, the rate of depletion of feed and remaining amount and to propose an effective automated reorder & delivery system. First, a method of utilization of ultrasonic and temperature/humidity sensors to obtain corresponding data of remaining feed in the Feedbin is proposed. In addition, a method of sending the obtained data via on-the-farm gateway to Supply Chain Management (SCM) servers is proposed. Finally, utilization of the stored data to construct an automated reorder & delivery service system is proposed. It is in the researcher's intention to contribute to and enable the local livestock industry with the application of various IoT services.

• Journal of Korea Entertainment Industry Association
• /
• v.13 no.8
• /
• pp.335-343
• /
• 2019

Healthy living is an essential element of human happiness. Quality eating provides the basis for life, and the health of livestock, which provides meat and dairy products, has a direct impact on human health. In the case of calves, diarrhea is the cause of all diseases.In this paper, we use a sensor to measure calf 's biometric data to diagnose calf diarrhea. The collected biometric data is subjected to a preprocessing process for use as meaningful information. We measure calf birth history and calf biometrics. The ontology is constructed by inputting environmental information of housing and biochemistry, immunity, and measurement information of human body for disease management. We will build a knowledge base for predicting calf diarrhea by predicting calf diarrhea through logical reasoning. Predict diarrhea with the knowledge base on the name of the disease, cause, timing and symptoms of livestock diseases. These knowledge bases can be expressed as domain ontologies for parent ontology and prediction, and as a result, treatment and prevention methods can be suggested.

• Journal of Korea Multimedia Society
• /
• v.17 no.7
• /
• pp.886-894
• /
• 2014

Recently, domestic animal disease caused tremendous damage to farmhouses and the damage stretched in nationwide with the spread of epidemic disease. To prevent animal diseases from happening again, the system development to easily measure the temperature of sick animals and identify of them is needed, thereby quickly treat them, reducing losses of farmhouses. However, a lack of related equipment and human resource hampered its effort to minimize its losses. This study tries to develop diagnosis system as part of measures to curb these domestic animal diseases. This paper present the 센서 node based on IEEE 802.15.4 which can be attached to the animal body for real-time temperature measurement. We design and implement tiny chip-type that can be attached to the body of animals. Then, we use available power only when measuring temperatures in a long term-basis. In this paper, the 센서 node was applied to horse's neck. We measure the horse's body temperature between $32.2^{\circ}C{\sim}33.7^{\circ}C$ and analyze phenomenon data for 4 months.