• Management & Economics

    Analysis of radish supply and demand impact due to climate change policy implementation: Based on the SSP scenario
    Sang Hyeok Yoon, Byung Min Soon
    Our study investigated the radish supply and demand model by crop type according to climate change policy implementation. So far, there has … + READ MORE
    Our study investigated the radish supply and demand model by crop type according to climate change policy implementation. So far, there has been active research on the impact of climate change on the supply and demand of crops, but there has been insufficient research analyzing the impact on radish. The objective of our study is to analyze how climate change policy implementation affects the supply and demand of radish by crop type. We built a model that connects crops through a partial equilibrium model, and present a scenario assuming implementation of climate change policies. As a result of the study, the implementation of climate change policies showed stability in the supply and demand of radishes, excluding summer crops. This study has implications in that it can be used as a basis for future supply and demand research on other crops and the implementation of climate change policies. - COLLAPSE
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    1 March 2025

  • Management & Economics

    Evaluation of the economic value of providing service of poultry price information
    Sounghun Kim, Gwangsik Oh, Sang Gon Jeon
    In Korea, the poultry industry is the one of important agriculture industries and keeps increasing the size of industry. Poultry products, represented … + READ MORE
    In Korea, the poultry industry is the one of important agriculture industries and keeps increasing the size of industry. Poultry products, represented by chickens, eggs, and ducks, have a smaller value per head than cows or pigs, but the number of produced and distributed poultry products is very large. These characteristics of poultry simultaneously demonstrate the difficulty of collecting price information and the importance of offering price information. The main goal of this study is to evaluate the economic value of providing service of poultry price information by Korea Institute for Animal Products Quality Evaluation (KAPE). Using the results from survey of information users, the economic value of providing service of poultry price information is estimated through the double-bounded dichotomous choice contingent valuation model. The results present that the individual’s willingness to pay (WTP) of providing service of poultry price information by KAPE is estimated to be 28,526 won, and therefore the annual economic value of providing service of poultry price information is estimated 1.17 billion won. Since the annual budget of the providing service of poultry price information by KAPE is 134 million won, it was analyzed that the economic value of the KAPE’s service is about 8.3 times the budget. - COLLAPSE
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    1 March 2025

  • Animal

    Effects of supplementation of pyroligneous liquid and clay mineral in the diets on fattening performance, carcass characteristics and fatty acid composition of pork
    Sung Il Kim, Ji Hong Lee
    This study was conducted to evaluate the effects of pyroligneous liquid and clay mineral on fattening performance, carcass characteristics and fatty acid … + READ MORE
    This study was conducted to evaluate the effects of pyroligneous liquid and clay mineral on fattening performance, carcass characteristics and fatty acid composition of pork. A total of forty-five, 70-d-old piglets (body weight [BW] = 31.52 kg ± 2.71) were assigned to a basal concentrate (Control) or a basal concentrate supplemented with 0.3% pyroligneous liquid (T1) or a basal concentrate supplemented with 0.5% clay mineral (T2) for 107 days. Average daily gain did not differ between treatments but feed conversion was lower (p < 0.05) for T2 than Control. Cold carcass weights and backfat thickness did not differ between treatments. Carcass quality grade was higher for T2 than Control and T1. T2 was 91.67% the rate over than grade 1. Crude fat was higher (p < 0.05) for T2 than Control. Cooking loss was lower (p < 0.05) for T1 and T2 than Control. C16:0 (palmitic acid) and C18:0 (stearic acid) did not differ between treatments but C18:2 (linoleic acid) and unsaturated fatty acid (UFA) was higher (p < 0.05) for T2 than Control and T1. Therefore, the results of the present study suggest that the supplementing T2 in pigs has a positive effect on improving feed conversion, carcass quality grade and UFA beneficial to human health. - COLLAPSE
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    1 March 2025

  • Food & Chemistry

    Investigation of 3D printing quality of surimi ink with adding sugar and alternative sugars
    Da-Sol Jeong, Sol Kim, Soo-Jung Kim
    Three-dimensional food printing (3DFP) is used to develop novel foods by layering edible inks, where it is essential to evaluate printability of … + READ MORE
    Three-dimensional food printing (3DFP) is used to develop novel foods by layering edible inks, where it is essential to evaluate printability of food inks to obtain desired nutrition and physical properties. This study investigated the effect of sugar and alternative sugars on printability and physical properties of 3D printing surimi inks. First, surimi ink was made by adding sucrose, alternative sugars of stevioside, or allulose with concentrations of 1 - 4% (w·w-1), and printability of 3D printed products was evaluated. Next, texture properties including hardness, chewiness, cohesiveness, gumminess, and springiness of 3D printed products were measured using food texture analyzer. Also, color change by adding sucrose or alternative sugars was determined, and surfaces of surimi dough were observed using field emission scanning electron microscope (FE-SEM) image. As a result, the optimal concentrations were determined as 2% for sucrose, 4% for stevioside, and 3% for allulose. These results support the potential application of alternative sugars in various food 3D printing inks. - COLLAPSE
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    1 March 2025

  • Engineering

    Simplified image analysis for early detection of missing and low-vigor cabbage plants using UAV RGB imagery and deep learning
    Kyeong Soo Jeong, Seong Hwan Go, Won Ki Jo, Jong Hwa Park
    Early and accurate detection of missing and low-vigor plants is crucial for optimizing crop yields and resource use in agriculture. Traditional manual … + READ MORE
    Early and accurate detection of missing and low-vigor plants is crucial for optimizing crop yields and resource use in agriculture. Traditional manual scouting methods are time-consuming and labor-intensive. This study addresses the need for a rapid and efficient solution for assessing stand establishment in cabbage crops. This research presents a simplified image analysis pipeline for the early detection of missing and low-vigor cabbage plants using unmanned aerial vehicle (UAV) RGB imagery and a deep learning-based object detection model. The system employs a Faster region-based convolutional neural networks (R-CNN) model with a ResNet-50 feature pyramid network (FPN) backbone for plant detection. A streamlined preprocessing workflow, incorporating feature extraction using ResNet-50 FPN, enhances image contrast. Plant vigor is assessed using a computationally efficient, area-based classification method, with the 30th percentile of predicted bounding box areas serving as the threshold between “healthy” and “low-vigor” plants. This threshold was determined through visual assessment and iterative testing. Missing plants (also known as “knots”) are identified by comparing detected plant locations with a grid of expected planting positions, generated from known planting patterns and refined by removing overlaps with detected plants. The Faster R-CNN model achieved an F1-score of 0.90 on a test dataset (using a confidence score threshold of 0.7). A field trial in a Smart Organic Farming Demonstration Complex in Goesan-gun, South Korea, revealed a significant stand establishment issue: a missing plant rate of 54.81% and 13.19% of plants classified as low-vigor. The developed system, combining UAV RGB imagery, deep learning, and simplified image analysis, offers a practical and efficient solution for precise crop monitoring. Visualizations and a geo-referenced planting map provide actionable information for targeted replanting. This research demonstrates significant advancements over traditional methods, paving the way for more sustainable and resilient agricultural practices by enabling timely intervention to minimize yield loss in the critical early stages of cabbage growth. - COLLAPSE
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    1 March 2025
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