This page has only limited features, please log in for full access.

Unclaimed
Tusan Park
Smart Agriculture Innovation Center, Kyungpook National University, Daegu 41566, Korea

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 12 August 2021 in Foods
Reads 0
Downloads 0

The growing importance of rice globally over the past three decades is evident in its strategic place in many countries’ food security planning policies. Still, its cultivation emits substantial greenhouse gases (GHGs). The Indica and Japonica sub-species of Oryza sativa L. are mainly grown, with Indica holding the largest market share. The awareness, economics, and acceptability of Japonica rice in a food-insecure Indica rice-consuming population were surveyed. The impact of parboiling on Japonica rice was studied and the factors which most impacted stickiness were investigated through sensory and statistical analyses. A comparison of the growing climate and greenhouse gas emissions of Japonica and Indica rice was carried out by reviewing previous studies. Survey results indicated that non-adhesiveness and pleasant aroma were the most preferred properties. Parboiling treatment altered Japonica rice’s physical and chemical properties, introducing gelatinization of starch and reducing adhesiveness while retaining micronutrient concentrations. Regions with high food insecurity and high consumption of Indica rice were found to have suitable climatic conditions for growing Japonica rice. Adopting the higher-yielding, nutritious Japonica rice whose cultivation emits less GHG in these regions could help strengthen food security while reducing GHGs in global rice cultivation.

ACS Style

Daniel Dooyum Uyeh; Senorpe Asem-Hiablie; Tusan Park; Kyungmin Kim; Alexey Mikhaylov; Seungmin Woo; Yushin Ha. Could Japonica Rice Be an Alternative Variety for Increased Global Food Security and Climate Change Mitigation? Foods 2021, 10, 1869 .

AMA Style

Daniel Dooyum Uyeh, Senorpe Asem-Hiablie, Tusan Park, Kyungmin Kim, Alexey Mikhaylov, Seungmin Woo, Yushin Ha. Could Japonica Rice Be an Alternative Variety for Increased Global Food Security and Climate Change Mitigation? Foods. 2021; 10 (8):1869.

Chicago/Turabian Style

Daniel Dooyum Uyeh; Senorpe Asem-Hiablie; Tusan Park; Kyungmin Kim; Alexey Mikhaylov; Seungmin Woo; Yushin Ha. 2021. "Could Japonica Rice Be an Alternative Variety for Increased Global Food Security and Climate Change Mitigation?" Foods 10, no. 8: 1869.

Journal article
Published: 13 July 2021 in IEEE Access
Reads 0
Downloads 0

Optimal placement of sensors in protected cultivation systems to maximize monitoring and control capabilities can guide effective decision-making toward achieving the highest levels of productivity and other desirable outcomes. Reinforcement learning, unlike conventional machine learning methods such as supervised learning does not require large, labeled datasets thereby providing opportunities for more efficient and unbiased design optimization. With the objective of determining the optimal locations of sensors in a greenhouse, a multi-arm bandit problem was formulated using the Beta distribution and solved by the Thompson sampling algorithm. A total of 56 two-in-one sensors designed to measure both internal air temperature and relative humidity were installed at a vertical distance of 1 m and a horizontal distance of 3m apart in a greenhouse used to cultivate strawberries. Data was collected over a period of seven months covering four major seasons, February (winter), March, April, and May (spring), June and July (summer), and October (autumn) and analyzed separately. Results showed unique patterns for sensor selection for temperature and relative humidity during the different months. Furthermore, temperature and relative humidity each had different optimal location selections suggesting that two-in-one sensors might not be ideal in these cases. The use of reinforcement learning to design optimal sensor placement in this study aided in identifying 10 optimal sensor locations for monitoring and controlling temperature and relative humidity.

ACS Style

Daniel Dooyum Uyeh; Blessing Itoro Bassey; Rammohan Mallipeddi; Senorpe Asem-Hiablie; Maryleen Amaizu; Seungmin Woo; Yushin Ha; Tusan Park. A Reinforcement Learning Approach for Optimal Placement of Sensors in Protected Cultivation Systems. IEEE Access 2021, 9, 100781 -100800.

AMA Style

Daniel Dooyum Uyeh, Blessing Itoro Bassey, Rammohan Mallipeddi, Senorpe Asem-Hiablie, Maryleen Amaizu, Seungmin Woo, Yushin Ha, Tusan Park. A Reinforcement Learning Approach for Optimal Placement of Sensors in Protected Cultivation Systems. IEEE Access. 2021; 9 ():100781-100800.

Chicago/Turabian Style

Daniel Dooyum Uyeh; Blessing Itoro Bassey; Rammohan Mallipeddi; Senorpe Asem-Hiablie; Maryleen Amaizu; Seungmin Woo; Yushin Ha; Tusan Park. 2021. "A Reinforcement Learning Approach for Optimal Placement of Sensors in Protected Cultivation Systems." IEEE Access 9, no. : 100781-100800.

Journal article
Published: 30 April 2021 in Animals
Reads 0
Downloads 0

The dry matter (DM) content of feed is vital in cattle nutrition and is inversely correlated with moisture content. The established ranges of moisture content serve as a marker for factors such as safe storage limit and DM intake. Rapid changes in moisture content necessitate rapid measurements. A rapid and non-destructive global model for the measurement of moisture content in total mixed ration feed and feed materials was developed. To achieve this, we varied and measured the moisture content in the feed and feed materials using standard methods and captured their images using a hyperspectral imaging (HSI) system in the spectral range of 1000–2500 nm. The spectral data from the samples were extracted and preprocessed using seven techniques and were used to develop a global model using partial least squares regression (PLSR) analysis. The range preprocessing technique had the best prediction accuracy (R2 = 0.98) and standard error of prediction (2.59%). Furthermore, the visual assessment of distribution in moisture content made possible by the generated PLSR-based moisture content mapped images could facilitate precise formulation. These applications of HSI, when used in commercial feed production, could help prevent feed spoilage and resultant health complications as well as underperformance of the animals from improper DM intake.

ACS Style

Daniel Uyeh; Juntae Kim; Santosh Lohumi; Tusan Park; Byoung-Kwan Cho; Seungmin Woo; Won Lee; Yushin Ha. Rapid and Non-Destructive Monitoring of Moisture Content in Livestock Feed Using a Global Hyperspectral Model. Animals 2021, 11, 1299 .

AMA Style

Daniel Uyeh, Juntae Kim, Santosh Lohumi, Tusan Park, Byoung-Kwan Cho, Seungmin Woo, Won Lee, Yushin Ha. Rapid and Non-Destructive Monitoring of Moisture Content in Livestock Feed Using a Global Hyperspectral Model. Animals. 2021; 11 (5):1299.

Chicago/Turabian Style

Daniel Uyeh; Juntae Kim; Santosh Lohumi; Tusan Park; Byoung-Kwan Cho; Seungmin Woo; Won Lee; Yushin Ha. 2021. "Rapid and Non-Destructive Monitoring of Moisture Content in Livestock Feed Using a Global Hyperspectral Model." Animals 11, no. 5: 1299.

Journal article
Published: 27 January 2021 in Animal Feed Science and Technology
Reads 0
Downloads 0

The major cost (60–80%) of animal production is attributed to feed but most growers are yet to accept and adopt alternative materials like by-products due to their vast variations in nutrient components. Feed and animal production methods are currently considered as unsustainable -with environmental issues related to by-products disposal. Rapid and non-destructive models for quantifying sugars, organic acids, amino acids and other nutrients in alternative materials and a model for precision animal feed production were developed. Consequently, we investigated the nutrient components of by-products using line-scan hyperspectral imaging (HSI) technique. Hyperspectral images of by-products were acquired in the spectral range of 1000–2500 nm. The spectral data were extracted and preprocessed to develop a prediction model using partial least square regression (PLSR) analysis. The PLSR models developed resulted in the following acceptable prediction accuracies (R2p); sugars (0.76–0.94), organic acids (0.72–0.75), amino acids (0.55–0.84), and other nutrients content (0.69–0.96). The root means square error of predictions (RMSEP) obtained were sugars (0.076–0.524 mg/mL), organic acids (0.360–0.626 mg/mL), amino acids (0.007–0.052 mg/mL), and other nutrients content (0.403–1.035 %). The results obtained from the PLSR models showed reliable performance for quantifying chemical components of different by-products. Further, the generated PLSR-based chemical-mapped images facilitated the visual assessment of the chemical concentration and distribution in by-products. Thus, based on the results, the application of HSI in combination with multivariate analysis method of PLSR in a commercial setting may be feasible. This can ultimately enable cost-saving in breeding by curtailing overfeeding and post-production losses and significantly mitigate environmental issues related to by-products disposal.

ACS Style

Daniel Dooyum Uyeh; Yushin Ha; Tusan Park. Animal feed formulation: Rapid and non-destructive measurement of components from waste by-products. Animal Feed Science and Technology 2021, 274, 114848 .

AMA Style

Daniel Dooyum Uyeh, Yushin Ha, Tusan Park. Animal feed formulation: Rapid and non-destructive measurement of components from waste by-products. Animal Feed Science and Technology. 2021; 274 ():114848.

Chicago/Turabian Style

Daniel Dooyum Uyeh; Yushin Ha; Tusan Park. 2021. "Animal feed formulation: Rapid and non-destructive measurement of components from waste by-products." Animal Feed Science and Technology 274, no. : 114848.

Journal article
Published: 11 January 2021 in Machines
Reads 0
Downloads 0

The development of an automatic walking-type pepper transplanter could be effective in improving the mechanization rate in pepper cultivation, where the dibbling mechanism plays a vital role and determines planting performance and efficiency. The objective of this research was to determine a suitable working speed for a gear-driven dibbling mechanism appropriate for a pepper transplanter, while considering agronomic transplanting requirements. The proposed dibbling mechanism consisted of two dibbling hoppers that simultaneously collected free-falling seedlings from the supply mechanism and dibbled them into soil. To enable the smooth collection and plantation of pepper seedlings, analysis was carried out via a mathematical working trajectory model of the dibbling mechanism, virtual prototype simulation, and validation tests, using a physical prototype. In the mathematical model analysis and simulation, a 300 mm/s forward speed of the transplanter and a 60 rpm rotational speed of the dibbling mechanism were preferable in terms of seedling uprightness and low mulch film damage. During the field test, transplanting was conducted at a 40 mm planting depth, using different forward speed levels. Seedlings were freely supplied to the hopper from a distance of 80 mm, and the success rate for deposition was 96.79%. A forward speed of 300 mm/s with transplanting speed of 120 seedlings/min was preferable in terms of achieving a high degree of seedling uprightness (90 ± 3.26), a low rate of misplanting (8.19%), a low damage area on mulch film (2341.95 ± 2.89 mm2), high uniformity of planting depth (39.74 ± 0.48 mm), and low power consumption (40.91 ± 0.97 W).

ACS Style

Zafar Iqbal; Nafiul Islam; Milon Chowdhury; Sumaiya Islam; Tusan Park; Yong-Joo Kim; Sun-Ok Chung. Working Speed Analysis of the Gear-Driven Dibbling Mechanism of a 2.6 kW Walking-Type Automatic Pepper Transplanter. Machines 2021, 9, 6 .

AMA Style

Zafar Iqbal, Nafiul Islam, Milon Chowdhury, Sumaiya Islam, Tusan Park, Yong-Joo Kim, Sun-Ok Chung. Working Speed Analysis of the Gear-Driven Dibbling Mechanism of a 2.6 kW Walking-Type Automatic Pepper Transplanter. Machines. 2021; 9 (1):6.

Chicago/Turabian Style

Zafar Iqbal; Nafiul Islam; Milon Chowdhury; Sumaiya Islam; Tusan Park; Yong-Joo Kim; Sun-Ok Chung. 2021. "Working Speed Analysis of the Gear-Driven Dibbling Mechanism of a 2.6 kW Walking-Type Automatic Pepper Transplanter." Machines 9, no. 1: 6.

Journal article
Published: 12 December 2020 in Agriculture
Reads 0
Downloads 0

Pepper is one of the most vital agricultural products with high economic value, and pepper production needs to satisfy the growing worldwide population by introducing automatic seedling transplantation techniques. Optimal design and dimensioning of picking device components for an automatic pepper transplanter are crucial for efficient and effective seedling transplantation. Therefore, kinematic analysis, virtual model simulation, and validation testing of a prototype were conducted to propose a best-suited dimension for a clamp-type picking device. The proposed picking device mainly consisted of a manipulator with five grippers and a picking stand. To analyze the influence of design variables through kinematic analysis, 250- to 500-mm length combinations were considered to meet the trajectory requirements and suit the picking workspace. Virtual model simulation and high-speed photography tests were conducted to obtain the kinematic characteristics of the picking device. According to the kinematic analysis, a 350-mm picking stand and a 380-mm manipulator were selected within the range of the considered combinations. The maximum velocity and acceleration of the grippers were recorded as 1.1, 2.2 m/s and 1.3, 23.7 m/s2, along the x- and y-axes, respectively, for 30 to 90 rpm operating conditions. A suitable picking device dimension was identified and validated based on the suitability of the picking device working trajectory, velocity, and acceleration of the grippers, and no significant difference (p ≤ 0.05) occurred between the simulation and validation tests. This study indicated that the picking device under development would increase the pepper seedling picking accuracy and motion safety by reducing the operational time, gripper velocity, acceleration, and mechanical damage.

ACS Style

Nafiul Islam; Zafar Iqbal; Mohammod Ali; Milon Chowdhury; Shaha Nur Kabir; Tusan Park; Yong-Joo Kim; Sun-Ok Chung. Kinematic Analysis of a Clamp-Type Picking Device for an Automatic Pepper Transplanter. Agriculture 2020, 10, 627 .

AMA Style

Nafiul Islam, Zafar Iqbal, Mohammod Ali, Milon Chowdhury, Shaha Nur Kabir, Tusan Park, Yong-Joo Kim, Sun-Ok Chung. Kinematic Analysis of a Clamp-Type Picking Device for an Automatic Pepper Transplanter. Agriculture. 2020; 10 (12):627.

Chicago/Turabian Style

Nafiul Islam; Zafar Iqbal; Mohammod Ali; Milon Chowdhury; Shaha Nur Kabir; Tusan Park; Yong-Joo Kim; Sun-Ok Chung. 2020. "Kinematic Analysis of a Clamp-Type Picking Device for an Automatic Pepper Transplanter." Agriculture 10, no. 12: 627.

Journal article
Published: 05 September 2019 in Engineering in Agriculture, Environment and Food
Reads 0
Downloads 0

Increase in global prices of grains further adds to difficulties in feeding livestock. Total Mixed Ration (TMR) formulated with food and agricultural by-products is considered as alternative animal feeds. However, it has associated problems particularly but not limited to decomposition due to high moisture content in most of them. To solve this problem, fermentation technology was brought up on TMRs. However, the fermentation condition may vary depending on the composition of the TMRs. This study set out to identify and determine a fermentation condition which can be applied regardless of the TMR composition. The Taguchi method L9 (34) orthogonal array was adopted in this research. The study considered 3 levels of 4 controllable factors (temperature, moisture content, bulk density, and fermentation period) and 2 uncontrollable factors (compositions and ratio of TMR samples). Quality score was calculated using the silage quality assessment method by analyzing pH and organic acid content (lactic acid, acetic acid, and butyric acid). Fermentation 40 L volume chamber (φ 300 × 400 H) was built and three TMR samples were fermented for the validation test. Results indicated that animal feed formulated with by-products had the highest quality score at a fermentation temperature of 20 °C, moisture content of 50%, a bulk density of 0.6 kg/m3, at 96-h fermentation period. This fermentation condition delivers the silage quality score of over 82 regardless of the composition of the materials used in formulating the feed.

ACS Style

Seung Min Woo; Daniel Dooyum Uyeh; Junhee Kim; Dong Hyuck Hong; Tusan Park; Yu Shin Ha. A study on the optimal fermentation conditions for mixed by-products in livestock feed production. Engineering in Agriculture, Environment and Food 2019, 12, 470 -476.

AMA Style

Seung Min Woo, Daniel Dooyum Uyeh, Junhee Kim, Dong Hyuck Hong, Tusan Park, Yu Shin Ha. A study on the optimal fermentation conditions for mixed by-products in livestock feed production. Engineering in Agriculture, Environment and Food. 2019; 12 (4):470-476.

Chicago/Turabian Style

Seung Min Woo; Daniel Dooyum Uyeh; Junhee Kim; Dong Hyuck Hong; Tusan Park; Yu Shin Ha. 2019. "A study on the optimal fermentation conditions for mixed by-products in livestock feed production." Engineering in Agriculture, Environment and Food 12, no. 4: 470-476.

Journal article
Published: 30 April 2019 in Journal of the Korean Society of Manufacturing Process Engineers
Reads 0
Downloads 0
ACS Style

Chang-Seop Shin; Jun-Hee Kim; Yu-Shin Ha; Tusan Park. Experimental Study on the Drawbar Pull and Structural Safety of an Onion Harvester Attached to a Tractor. Journal of the Korean Society of Manufacturing Process Engineers 2019, 18, 16 -25.

AMA Style

Chang-Seop Shin, Jun-Hee Kim, Yu-Shin Ha, Tusan Park. Experimental Study on the Drawbar Pull and Structural Safety of an Onion Harvester Attached to a Tractor. Journal of the Korean Society of Manufacturing Process Engineers. 2019; 18 (4):16-25.

Chicago/Turabian Style

Chang-Seop Shin; Jun-Hee Kim; Yu-Shin Ha; Tusan Park. 2019. "Experimental Study on the Drawbar Pull and Structural Safety of an Onion Harvester Attached to a Tractor." Journal of the Korean Society of Manufacturing Process Engineers 18, no. 4: 16-25.

Journal article
Published: 05 October 2018 in Computers and Electronics in Agriculture
Reads 0
Downloads 0

The profitability of the livestock industry largely depends on cost-effective feed ration formulation as feed accounts for between 60 and 80% of production costs. Therefore, feed formulation is a recurring problem for breeders. In addition, the presence of linear and non-linear constraints, and multiple possible combinations that are subject to upsurge makes the formulation of feed a Non-deterministic Polynomial-time hard (NP-hard) problem. Generally, feed formulation is done by specifying the nutritional requirements as rigid constraints and an algorithm attempts to find a feasible cost-effective formulation. However, relaxing the constraints can sometimes provide a huge reduction in the cost of feed while not seriously affecting the economic performance of the livestock. This entails the development of a feed formulation software that has an inbuilt mechanism to enable relaxation to the constraints based on the users’ necessities. Accordingly, the problem formulation and the optimization algorithm should facilitate this. We modified the conventional problem formulation with a tolerance parameter (as a percentage of the actual value) to accommodate the relaxation of constraints. We solved this problem with differential evolution, a variant of evolutionary algorithms, which are good for handling NP-hard problems. In addition, the relaxation of the constraints was done in an interactive way using the proposed method without penalties. In other words, the proposed method is flexible and possesses the ability to search for a feasible and least-cost solution if available or otherwise, the best solution and finds the suitable feed components to be used in ration formulation at an optimal cost depending on the nutrient requirements and growth stage of the animal.

ACS Style

Daniel Dooyum Uyeh; Rammohan Mallipeddi; Trinadh Pamulapati; Tusan Park; Junhee Kim; Seungmin Woo; Yushin Ha. Interactive livestock feed ration optimization using evolutionary algorithms. Computers and Electronics in Agriculture 2018, 155, 1 -11.

AMA Style

Daniel Dooyum Uyeh, Rammohan Mallipeddi, Trinadh Pamulapati, Tusan Park, Junhee Kim, Seungmin Woo, Yushin Ha. Interactive livestock feed ration optimization using evolutionary algorithms. Computers and Electronics in Agriculture. 2018; 155 ():1-11.

Chicago/Turabian Style

Daniel Dooyum Uyeh; Rammohan Mallipeddi; Trinadh Pamulapati; Tusan Park; Junhee Kim; Seungmin Woo; Yushin Ha. 2018. "Interactive livestock feed ration optimization using evolutionary algorithms." Computers and Electronics in Agriculture 155, no. : 1-11.

Journal article
Published: 01 September 2018 in Analytical Biochemistry
Reads 0
Downloads 0

We developed a high-throughput technique for highly sensitive measurement of trace amounts of proline, an indicator of drought stress in plants, using an optimized proline-ninhydrin reaction. In order to do this, proline detection time was minimized by omitting phosphoric acid from the ninhydrin reagent. Chromophore extraction using toluene was also omitted, thus lowering the risks to environment and human health, and allowing the use of readily available polystyrene plates. Proline detection sensitivity was assessed based on the concentration of sulfosalicylic acid in the solution, which indicated that 1% sulfosalicylic acid yielded the best sensitivity and linearity. These findings were applied to a multiwell plate-based multiplex analysis using a dry oven for the simultaneous analysis of a large number of drought-stressed plant samples with trace amounts of proline. The results showed that proline could be effectively detected in plants grown in soil with water content under 5%, demonstrating its potential for diagnosing drought early. The proposed multiwell plate-based multiplex assay is expected to be useful in manifold agricultural applications.

ACS Style

Mi Rha Lee; Cheol Soo Kim; Tusan Park; Young-Soo Choi; Kyeong-Hwan Lee. Optimization of the ninhydrin reaction and development of a multiwell plate-based high-throughput proline detection assay. Analytical Biochemistry 2018, 556, 57 -62.

AMA Style

Mi Rha Lee, Cheol Soo Kim, Tusan Park, Young-Soo Choi, Kyeong-Hwan Lee. Optimization of the ninhydrin reaction and development of a multiwell plate-based high-throughput proline detection assay. Analytical Biochemistry. 2018; 556 ():57-62.

Chicago/Turabian Style

Mi Rha Lee; Cheol Soo Kim; Tusan Park; Young-Soo Choi; Kyeong-Hwan Lee. 2018. "Optimization of the ninhydrin reaction and development of a multiwell plate-based high-throughput proline detection assay." Analytical Biochemistry 556, no. : 57-62.

Proceedings article
Published: 01 January 2018 in 2018 Detroit, Michigan July 29 - August 1, 2018
Reads 0
Downloads 0
ACS Style

Daniel D Uyeh; Rammohan Mallipeddi; Trinadh Pamulapati; Tusan Park; Junhee Kim; Seungmin Woo; Yushin Ha; Taehan Kim. Interactive Total Mixed Ration formulation using Differential evolution. 2018 Detroit, Michigan July 29 - August 1, 2018 2018, 1 .

AMA Style

Daniel D Uyeh, Rammohan Mallipeddi, Trinadh Pamulapati, Tusan Park, Junhee Kim, Seungmin Woo, Yushin Ha, Taehan Kim. Interactive Total Mixed Ration formulation using Differential evolution. 2018 Detroit, Michigan July 29 - August 1, 2018. 2018; ():1.

Chicago/Turabian Style

Daniel D Uyeh; Rammohan Mallipeddi; Trinadh Pamulapati; Tusan Park; Junhee Kim; Seungmin Woo; Yushin Ha; Taehan Kim. 2018. "Interactive Total Mixed Ration formulation using Differential evolution." 2018 Detroit, Michigan July 29 - August 1, 2018 , no. : 1.

Journal article
Published: 01 September 2016 in Journal of Biosystems Engineering
Reads 0
Downloads 0
ACS Style

Ik Joo Jang; Tusan Park; Yu Shin Ha. Development of a Water-Spraying Type Automatic Glochids Removal System for Cactus (Opuntia humifusa) Stem. Journal of Biosystems Engineering 2016, 41, 201 -207.

AMA Style

Ik Joo Jang, Tusan Park, Yu Shin Ha. Development of a Water-Spraying Type Automatic Glochids Removal System for Cactus (Opuntia humifusa) Stem. Journal of Biosystems Engineering. 2016; 41 (3):201-207.

Chicago/Turabian Style

Ik Joo Jang; Tusan Park; Yu Shin Ha. 2016. "Development of a Water-Spraying Type Automatic Glochids Removal System for Cactus (Opuntia humifusa) Stem." Journal of Biosystems Engineering 41, no. 3: 201-207.