• Asian-Australasian Journal of Animal Sciences
• /
• v.22 no.1
• /
• pp.57-71
• /
• 2009

Crop-livestock mixed farming systems depend on the efficiency with which nutrients are conserved and recycled. Home-grown forage is used as animal feed and animal excretions are applied to cultivated crop lands as manure. The objective of this study was to develop a mixed farming system model for dairy cattle in Japan. The model consisted of four sub-models: the nutrient requirement model, based on the Japanese Feeding Standards to determine requirements for energy, crude protein, dry matter intake, calcium, phosphorus and vitamin A; the optimum diet formulation model for determining the optimum diets that satisfy nutrient requirements at lowest cost, using linear programming; the herd dynamic model to calculate the numbers of cows in each reproductive cycle; and the whole farm optimization model to evaluate whole farm management from economic and environmental viewpoints and to optimize strategies for the target farm or system. To examine the model' validity, its predictions were compared against best practices for dairy farm management. Sensitivity analyses indicated that higher yielding cows lead to better economic results but higher emvironmental load in dairy cattle systems integrated with forage crop production.

• Asian-Australasian Journal of Animal Sciences
• /
• v.10 no.6
• /
• pp.621-628
• /
• 1997

This study aimed to quantify the impact of crossbreeding at farm level, in mixed farm systems in Gujarat. Households with crossbred cattle did not differ from households without crossbreds in terms of farm resources, crop gross margins and off-farm income. The use of crossbred animals did increase livestock gross margins by 64% and household income by 22%. The three agro-ecological zones included in this study differed considerably according to farm system and household income. However, in all three zones, households with crossbreds had higher livestock gross margins than households without crossbreds. There was no real difference in work load and labour division between households with and without crossbreds. There was also no difference in the use of bullocks for draught purposes between the two types of households. In particular buffaloes are being replaced by crossbred cattle. There was a large variation in farm income, largely because of land area. The milk offake per average cow and the number of buffaloes also related positively to farm income in both types of households. Crossbreeding has proved technically and financially viable in different Gujarat mixed farming systems. It can be concluded that crossbreeding is an important development option for landless farmers.

• Asian-Australasian Journal of Animal Sciences
• /
• v.14 no.5
• /
• pp.701-709
• /
• 2001

Yeso sika deer (Cervus nippon yesoensis) grazed on various types of plants, and the fiber content in these plants was low. The tastes of yeso sika deer for existing feeds for ruminant livestock resembled those of sheep. Though the digestibility of these feeds in yeso sika deer was slightly lower than that in sheep, the nutritive values of DCP and TDN were similar between the two species, suggesting that feed for sheep can be utilized. Therefore, in small-scale farming of yeso sika deer, the feeding amount in feeding planning can be determined using the feeding standards for sheep. However, when concentrates are fed, correction of TDN is necessary. In large-scale pasturage, the nutritional intake in summer is adequate because yeso sika deer graze on various types of wild plants. In winter, they mainly graze on sasa (Sasa senanensis), and supplementary food may be necessary to supply TDN. Thus, since yeso sika deer graze on many types of wild plants, existing feeds for ruminant livestock can be used. In addition, plant biomasses except concentrates that do not cause competition with existing livestock may be effectively utilized in yeso sika deer, suggesting their importance as animal resources. The data on the intake and nutritive values of Sasa senanensis can be parameters for estimating the appropriate inhabitant number of wild yeso sika deer in wintering areas.

• Journal of the Korea Computer Industry Society
• /
• v.6 no.3
• /
• pp.421-428
• /
• 2005

Insufficiency of special knowledge and construction cost makes it difficult in build a customized-feed service system in the agricultural and livestock industry In this paper, customized-feed service system was developed in the internet service environment by using digital information and technology as a grafted system. This system has a couple of advantages like economic feed supply and effective management of feed production cost which make it possible to establish a customized-feed database suitable for the working environment in the agricultural and livestock industry. And this system is expected as a solution for 21st century digitalized agricultural and livestock industry which make it certain in real time by constructing a network environment and digitalizing the equipment and component related to the farm production.

• KCID journal
• /
• v.18 no.1
• /
• pp.18-24
• /
• 2011

The suitable area of forage crop field was calculated under the assumption that all of the liquied manure would be used to nutrient of crops at the Saemangeum crop-livestock complex. At first, Korean cattle and dairy cattle were selected and swine was excluded becausr of high pollution availability. When forage crop was calculated from nutrient amounts of manure of livestocks and standard applicable fertilizer quantity to the selected forage crops, 232ha (278ha including infrastructure part) was determined to be appropriate in case of 2500 heads of Korean cattle and 300 heads of dairy cattle were raised. From the result by that calculated ares (232ha) to forage crop feeding could be possible to the Korean cattle and dairy cattle feeding using TDN index, more than 217ha of forage crop fields would be satisfied nutritionally.

• Journal of Veterinary Science
• /
• v.23 no.1
• /
• pp.17.1-17.10
• /
• 2022

Background: Inspection of livestock farms using surveillance cameras is emerging as a means of early detection of transboundary animal disease such as African swine fever (ASF). Object tracking, a developing technology derived from object detection aims to the consistent identification of individual objects in farms. Objectives: This study was conducted as a preliminary investigation for practical application to livestock farms. With the use of a high-performance artificial intelligence (AI)-based 3D depth camera, the aim is to establish a pathway for utilizing AI models to perform advanced object tracking. Methods: Multiple crossovers by two humans will be simulated to investigate the potential of object tracking. Inspection of consistent identification will be the evidence of object tracking after crossing over. Two AI models, a fast model and an accurate model, were tested and compared with regard to their object tracking performance in 3D. Finally, the recording of pig pen was also processed with aforementioned AI model to test the possibility of 3D object detection. Results: Both AI successfully processed and provided a 3D bounding box, identification number, and distance away from camera for each individual human. The accurate detection model had better evidence than the fast detection model on 3D object tracking and showed the potential application onto pigs as a livestock. Conclusions: Preparing a custom dataset to train AI models in an appropriate farm is required for proper 3D object detection to operate object tracking for pigs at an ideal level. This will allow the farm to smoothly transit traditional methods to ASF-preventing precision livestock farming.

• Korean Journal of Organic Agriculture
• /
• v.20 no.1
• /
• pp.21-36
• /
• 2012

In this study, the assessment of livestock manure nitrogen loading for recycling farming in Yeoju-Gun carried out comparing manure units based on the cultivation areas and the N-amount of manure that are generated from livestock manure. Manure units (MU) are used in the permitting, registration, because they allow equal standards for all animals based on manure nutrient production. An MU is calculated by multiplying the number of animals by manure unit factor for the specific type of animal. The manure unit factor for MU determination was determined by dividing amounts of manure N produced 80kg N/year. In this study, manure unit by nitrogen concentration and amount of animal manure was calculated as follows: Hanwoo multiplied by 0.36, dairy cows multiplied by 0.8. swine multiplied by 0.105. The laying hens and broilers multiplied by 0.0079, 0.0049, respectively. The analysis of liquid manure unit per ha shows that the N loading by LMU is quite different by region. When it comes to nitrogen loading, the LMU per ha of cultivated land in excess of the N-amount was the highest in the Bukne-myeon province with 2.76 MU/ha, which is higher than the appropriate level. The Ganam-myeon province came next with 2.53 LMU. To be utilized as a valid program to build the environmentally friendly agricultural system, diverse measures shall be mapped out to properly determine manure units, evaluate N-loading and to properly manage their nutrient balance of each region.

• Korean Journal of Agricultural Science
• /
• v.20 no.2
• /
• pp.211-220
• /
• 1993

Sustainable agriculture is a management system for ecological equilibrium and long-run productivity. Conversions from conventional to sustainable farming systems could have good effects on future generations' productivity and agricultural market opening in Korea. However, farmers are not willing to adopt sustainable farming system as because of farm income reductions, so government programs may be needed. Government programs should have research support for cost reductions, direct support for advocational livestock breedings and income security, and relative price changes for reducing agricultural chemicals.

• Journal of Dairy Science and Biotechnology
• /
• v.39 no.1
• /
• pp.1-8
• /
• 2021

The surroundings of livestock farms, including dairy farms, are known to be a major source of development and transmission of antibiotic-resistant bacteria. To control antibioticresistant bacteria in the livestock breeding environment, farms have installed livestock wastewater treatment facilities to treat wastewater before discharging the final effluent in nearby rivers or streams. These facilities have been known to serve as hotspots for inter-bacterial antibiotic-resistance gene transfer and extensively antibiotic-resistant bacteria, owing to the accumulation of various antibiotic-resistant bacteria from the livestock breeding environment. This review discusses antibiotic usage in livestock farming, including dairy farms, livestock wastewater treatment plants as hotspots for antibiotic resistant bacteria, and nonenteric gram-negative bacteria from wastewater treatment plants, and previous findings in literature.

• Journal of Biosystems Engineering
• /
• v.29 no.4
• /
• pp.341-346
• /
• 2004

Recent livestock people concern not only increase of production, but also superior quality of animal-breeding environment. So far, the optimization of the breeding and air environment has been focused on the production increase. In the very near future, the optimization will be emphasized on the environment for the animal welfare and health. Especially, cattle farming demands the precision livestock farming and special attention has to be given to the management of feeding, animal health and fertility. The management of individual animal is the first step for precision livestock farming and animal welfare, and recognizing each individual is important for that. Though electronic identification of a cattle such as RFID(Radio Frequency Identification) has many advantages, RFID implementations practically involve several problems such as the reading speed and distance. In that sense, computer vision might be more effective than RFID for the identification of an individual animal. The researches on the identification of cattle via image processing were mostly performed with the cows having black-white patterns of the Holstein. But, the native Korean and Japanese cattle do not have any definite pattern on the body. The purpose of this research is to identify the Japanese black cattle that does not have a body pattern using computer vision technology and neural network algorithm. Twelve heads of Japanese black cattle have been tested to verify the proposed scheme. The values of input parameters were specified and then computed using the face images of cattle. The images of cattle faces were trained using associate neural network algorithm, and the algorithm was verified by the face images that were transformed using brightness, distortion, and noise factors. As a result, there was difference due to transform ratio of the brightness, distortion, and noise. And, the proposed algorithm could identify 100% in the range from -3 to +3 degrees of the brightness, from -2 to +4 degrees of the distortion, and from 0% to 60% of the noise transformed images. It is concluded that our system can not be applied in real time recognition of the moving cows, but can be used for the cattle being at a standstill.