• Korean Journal of Organic Agriculture
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• v.24 no.4
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• pp.681-698
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• 2016

With increasing public concern for environmentally friendly agriculture, ecological aspect of landscape management is of growing importance. AHP (Analytical Hierarchy Process) analysis were conducted based on the delphi survey of 31 experts to evaluate the relative importance and the preference of landscape elements. Landscape components of organic farmland were classified into 2 landscape fields, 5 landscape types, 14 landscape units, and 37 landscape elements. Overall relevance score for the proposed landscape components were about 5.5 on the seven point scale. While the relative importance weight of cropland landscape field was 0.71, the weight of intra-structure landscape field was 0.29. Among the cropland landscape, relatively higher weight was assigned to farming system (0.47) and margins (0.31), as compared with hydrological system (0.22). In the farming system, crop (0.40) and farm land (0.39) were the most important landscape units. In the margins, higher weight was given to Buffer zone (0.44) and Trees (0.42). Biological habitat (0.43) ranked the highest score in the hydrological system. Preferable landscape elements were glass house, companion plants, rice paddy field, diverse crop species, small pond, and small river, which are representing ecological advantage of organic farming systems. This result indicated that the landscape elements identified in the study would be suitable to evaluate ecological aspect of rural landscape in organic farmland.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1996.06c
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• pp.228-237
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• 1996

On the basis of a brief introduction of the mechanized dry farming in Heilongjiang Province, the author states the developing process from the combination of single technics of farm machinery and agronomy to the technical assembly of high yield cultivation technics and its mathematical expression. According to the main temperature accumulated zones, 5 typical comprehensive technical assembly models for the mechanized cultivation technics and their agricultural machinery systems have been listed. They are, the Heihe " 261" wheat and soybean model : the Yi'an big ridge double row film mulching corn model : the Yongchang high yield mechanized soybean and other grain crops six year rotation model for Keshan state farms. The author conclude that the application of mechanized high yield cultivation technical assembly is the key point to transform the Heilongjiang province from big agriculture to strong agriculture, we have to take " high yield , high quality , high efficiency , s stain -ability and earning foreign currency" as the general target and carry out the corresponding policy and measures for the further development of agricuture.

• Journal of Animal Science and Technology
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• v.66 no.1
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• pp.31-56
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• 2024

Pig farming, a vital industry, necessitates proactive measures for early disease detection and crush symptom monitoring to ensure optimum pig health and safety. This review explores advanced thermal sensing technologies and computer vision-based thermal imaging techniques employed for pig disease and piglet crush symptom monitoring on pig farms. Infrared thermography (IRT) is a non-invasive and efficient technology for measuring pig body temperature, providing advantages such as non-destructive, long-distance, and high-sensitivity measurements. Unlike traditional methods, IRT offers a quick and labor-saving approach to acquiring physiological data impacted by environmental temperature, crucial for understanding pig body physiology and metabolism. IRT aids in early disease detection, respiratory health monitoring, and evaluating vaccination effectiveness. Challenges include body surface emissivity variations affecting measurement accuracy. Thermal imaging and deep learning algorithms are used for pig behavior recognition, with the dorsal plane effective for stress detection. Remote health monitoring through thermal imaging, deep learning, and wearable devices facilitates non-invasive assessment of pig health, minimizing medication use. Integration of advanced sensors, thermal imaging, and deep learning shows potential for disease detection and improvement in pig farming, but challenges and ethical considerations must be addressed for successful implementation. This review summarizes the state-of-the-art technologies used in the pig farming industry, including computer vision algorithms such as object detection, image segmentation, and deep learning techniques. It also discusses the benefits and limitations of IRT technology, providing an overview of the current research field. This study provides valuable insights for researchers and farmers regarding IRT application in pig production, highlighting notable approaches and the latest research findings in this field.

• Asian-Australasian Journal of Animal Sciences
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• v.13 no.2
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• pp.265-276
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• 2000

Crop-animal systems which form the backbone of agriculture in the tropics are discussed with reference to their characteristics, economic importance of animals, genesis and types of crop-animal systems, relevance and potential importance, and priorities for research and development. These production systems are found across all agroecological zones: rain-fed temperate and highland systems, semi-arid and arid tropics, and sub-humid and humid tropics: the last four are priority areas in Asia. The potential importance of these systems in Asia is reflected in their advantages, synergism and complimentarity, economic benefits and contribution to sustainability. Illustrative case studies are cited which are appropriate to the two broad types of mixed farming systems: systems combining animals and annual cropping, and systems combining animals with perennial cropping with reference to Indonesia, Philippines, Malaysia, Sri Lanka, China and Nigeria. Priorities for research and development should address more complete use of the animal genetic resources, intensive utilisation of the feed resources, development-oriented utilisation of research results, minimizing animal diseases, and implementation of appropriate institutional and policy issues.

• Asian-Australasian Journal of Animal Sciences
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• v.12 no.1
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• pp.68-76
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• 1999

A formal survey was carried out in Nharira-Lancashire areas located in Chivhu to assess the calf rearing systems practiced in smallholder dairy farming areas of Zimbabwe. A total of 47 farmers, collectively owning 305 cows and 194 calves of various breeds, participated in the survey. All the farmers allowed their calves to suckle their dams all day to obtain colostrum. The colostrums intake period was significantly (p < 0.05) shorter (5.2 vs 4.1 days) in the small scale commercial area (SSCA) compared to communal area (CA). Milk was first sold to the Nharira-Lancashire Milk Centre a day after the colostrum intake period ended. Most of the CA (91.3%) and SSCA (77.8%) farmers penned their cows and calves together at night during the colostrum intake period. Thereafter the calves were penned separate from their dams. After colostrum intake, two types of calf suckling systems were practised; twice a day suckling and twice a day then changed to once a day suckling. In both systems, suckling was allowed for 30 minutes after the cows had been hand milked. There was no significant (p < 0.05) difference in the mean weaning age of calves between the CA and SSCA (5.8 vs 5.4 months). The most common weaning method was through separation of the calves from the dams. The limitaitions to calf production in Chivhu were the prohibitively high costs of calf meals, poor feed resources during the dry season, a general lack of knowledge on calf rearing diseases and inappropriate calf housing.

• Journal of Microbiology and Biotechnology
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• v.23 no.12
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• pp.1737-1746
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• 2013

IbMYB1, a transcription factor (TF) for R2R3-type MYB TFs, is a key regulator of anthocyanin biosynthesis during storage of sweet potatoes. Anthocyanins provide important antioxidants of nutritional value to humans, and also protect plants from oxidative stress. This study aimed to increase transgenic potatoes' (Solanum tuberosum cv. LongShu No.3) tolerance to environmental stress and enhance their nutritional value. Transgenic potato plants expressing IbMYB1 genes under the control of an oxidative stress-inducible peroxidase (SWPA2) promoter (referred to as SM plants) were successfully generated through Agrobacterium-mediated transformation. Two representative transgenic SM5 and SM12 lines were evaluated for enhanced tolerance to salinity, UV-B rays, and drought conditions. Following treatment of 100 mM NaCl, seedlings of SM5 and SM12 lines showed less root damage and more shoot growth than control lines expressing only an empty vector. Transgenic potato plants in pots treated with 400 mM NaCl showed high amounts of secondary metabolites, including phenols, anthocyanins, and flavonoids, compared with control plants. After treatment of 400 mM NaCl, transgenic potato plants also showed high DDPH radical scavenging activity and high PS II photochemical efficiency compared with the control line. Furthermore, following treatment of NaCl, UV-B, and drought stress, the expression levels of IbMYB1 and several structural genes in the flavonoid biosynthesis such as CHS, DFR, and ANS in transgenic plants were found to be correlated with plant phenotype. The results suggest that enhanced IbMYB1 expression affects secondary metabolism, which leads to improved tolerance ability in transgenic potatoes.

• Journal of Korean Society of Rural Planning
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• v.19 no.4
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• pp.191-202
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• 2013

This study aims at providing the basic information required for policies on return to countryside for farming or else, through analysing the actual state of settlement and the community of people returning to rural areas. The comparative analysis of people returning toward general village and sub-urban residential complex in rural has been done to figure out the settlement environment. And the status analysis targeting the people returning to rural areas and original residents who live in general village have been done to figure out the actual state of the community. As a result, people returning toward sub-urban residential complex in rural moved for something else, while people returning toward general village in rural moved with the purpose of farming. Like this, the aims of moving into rural areas show difference. There is little conflict between people returning to rural areas and original residents, but some people have an intention to move the other place due to the conflict with original residents. So the community revitalization is needed for the active responses and suitable adaptation of them. On the basis of this study, policy tasks for return to countryside for farming or else were suggested as follows; 1) It is necessary to formulate each policy on return for farming and something else to rural areas discriminatively. 2) The economic support for a stable settlement of people returning to rural areas and the programs activating community with original residents are required. The discussion about the new community formation is needed to respond to the increase of people returning to rural areas.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.8
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• pp.2431-2449
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• 2024

As problems such as water pollution and fish species depletion have become serious, a land-based fish farming is receiving a great attention for ensuring stable productivity. In the fish farming, it is important to determine the timing of shipments, as one of key factors to increase net profit on the aquaculture. In this paper, we propose a system for predicting net profit to support decision of timing of shipment using fish farming-related statistical data. The prediction system consists of growth and farm-gate price prediction models, a cost statistics table, and a net profit estimation algorithm. The Gaussian process regression (GPR) model is exploited for weight prediction based on the analysis that represents the characteristics of the weight data of cultured fish under the assumption of Gaussian probability processes. Moreover, the long short-term memory (LSTM) model is applied considering the simple time series characteristics of the farm-gate price data. In the case of GPR model, it allows to cope with data missing problem of the weight data collected from the fish farm in the time and temperature domains. To solve the problem that the data acquired from the fish farm is aperiodic and small in amount, we generate the corresponding data by adopting a data augmentation method based on the Gaussian model. Finally, the estimation method for net profit is proposed by concatenating weight, price, and cost predictions. The performance of the proposed system is analyzed by applying the system to the Korean flounder data.

• Asian-Australasian Journal of Animal Sciences
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• v.13 no.2
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• pp.220-225
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• 2000

A general household survey was carried out in the village of Sonoageng in East Java, Indonesia with the aim to assess their socio-economic status, and the crop and livestock production system prevailing in the area. Of the households interviewed (164), 52% are landless, 35% own land or have a combination of own and shared land, and 12% do not own land but have access to land by sharing. Nearly two thirds (65%) of the households raise cattle; most of them own animals, 8% reared shared animals only. The dominant crop was rice; other crops grown were soya bean, groundnut, maize and sugar cane. Nearly half (47%) the household income was derived from off-farm work (non-agricultural activities), 33% from crops, 13% from livestock (mainly cattle), and 7% from agricultural labour. Most households kept 1 to 2 animals and only 21 out of 164 households earned more than Rp. 500,000 (~250 US$) per annum from livestock. The most prevalent type of livestock production in the area could be characterized as small-scale cow/calf operation, either by landless households or those with <0.4 ha of land.

• Journal of The Korean Society of Agricultural Engineers
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• v.57 no.6
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• pp.47-57
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• 2015

Organic farming system has been considered environmental friendly and sustainable agricultural practice. However, the influence of organic farming on soil quality and environment is not well informed and controversial. We sampled and analyzed 0~15 cm and 15~30 cm depth soils of organic and conventional paddy fields in Yongin and Anseong. The electric conductivity and organic matter content of organic paddy soil were significantly less (p = 0.0097, 0.0067, respectively) than those of conventional paddy soil. Available phosphate and total phosphorus in 0~15 cm depth of organic paddy soil were $211.1{\pm}135.3$, $872.4{\pm}286.3mg/kg$, respectively, less than those of conventional paddy soil. Available phosphate amount in conventional paddy was $358.8{\pm}246.7mg/kg$, which is higher than 300 mg/kg that can cause secondary environmental contamination by runoff. The amount of total nitrogen in organic paddy soil was less than that in conventional paddy while their difference was not significant. The concentration of the heavy metals in organic paddy soil was also lower than that in conventional paddy soil but their difference was not statistically significant. Our findings demonstrate that electric conductivity, organic matter, nutrients, and heavy metals in organic paddy soil were less than those in conventional paddy soil. However, additional monitoring of soil properties for longer period is necessary to certify such a conclusion.