Article

Patent prospects and trends in post-harvest management technology of fresh agricultural products

Ji Weon Choi1,*https://orcid.org/0000-0003-1929-4697, Su Yeon Kim2, Sooyeon Lim1, Hyunjin Choi1, Haejo Yang1, Il Sheob Shin1
Author Information & Copyright
1Postharvest Technology Division, National Institute of Horticultural and Herbal Science, RDA, Wanju 55365, Korea
2The Foundation of Agricultural Technology Commercialization and Transfer, Iksan 54667, Korea
*Corresponding author. E-mail:jwcnpri@korea.kr, Phone:+82-63-238-6521, Fax:+82-63-238-6505

Copyright © The Korean Society of Food Preservation. This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Received: Mar 13, 2020; Revised: Jul 08, 2020; Accepted: Jul 08, 2020

Published Online: Jul 31, 2020

Abstract

To predict the best direction for post-harvest management technology of fresh agricultural products, the growth potential of patents was evaluated using 1,517 valid patents from 1998 to 2017 for four countries (Korea, China, Japan, and United States) and the European Union. A patent portfolio (PP) index was used to evaluate the technological growth of the collected patents. Patent increase (PI) and patent sharing (PS) indices were used to evaluate the emerging trends in technology. A technology cycle time (TCT) model based on the PI, PS, and market power (MP) indices was used to compare the growth potential of each category. The PP index indicated that post-harvest management technology is in a growth stage; both the PI and PS indices showed that storage technology has high development potential, whereas packaging technology has low development potential owing to a low rate of increase. A multi-layer TCT model predicted that post-harvest management technology has high growth potential because the PI was 168.8%, the ratio of PS was 36.6%, and the MP increased 111.3%. Our results indicate that post-harvest management technologies have high growth potential, although patent applications decreased in some countries early in the study period. This study is important to establish the future strategy for extending the exportation of fresh agricultural products in Korea.

Keywords: fresh agricultural products; patent strategy; patent index; post-harvest management technology

Introduction

Fresh agricultural products (for example, processed vegetables, fruit, and mushrooms) are important for human health and attract consumers looking for healthy diets (Ncama et al., 2018). The market of fresh agricultural products has grown rapidly with the increasing interest in promoting general well-being, health, and quality of life (Choi et al., 2019). Post-harvest management technology has become the most important industry related to fresh produce and improves farmers’ livelihoods by increasing profits (Choi et al., 2019; Florez-Lopez et al., 2016). Post-harvest management technology has become a priority in many countries, as it contributes to food security and pricing (Cen et al., 2016). The increasing use of fresh agricultural products in various food commodities demands new technological approaches to improve its distribution and marketing efficiency (Baselice et al., 2017; Murray et al., 2017). Therefore, for effective intervention strategies for post-harvest management technology, it is important to determine the critical parameters determining the competitiveness of fresh agricultural products in the market. Fresh agricultural products-related intellectual property can be protected through the patent system, enabling industries and governments to protect strategic technologies (Kyebambe et al., 2017). Various patent indices for new industry-related technology are used to evaluate specific technology levels, research trends, and international competitiveness (Kim et al., 2012; Yoon et al., 2012).

In Korea, investment in new post-harvest management technology for fresh agricultural products has stagnated (Choe and Kim, 2015), although the global market for fresh agricultural products has been increasing (Droby et al., 2019). To remain competitive in the global market of fresh agricultural products, the Korean government supports the domestic fresh produce industry (Yun, 2014). Recently, a post-harvest technology (a fumigation treatment using both carbon dioxide and gaseous chlorine dioxide) was improved and applied in strawberries for export (RDA, 2018). The post-harvest management technology trends and patent prospects related to fresh produce are unclear, despite recent reviews of patent prospects for various post-harvest management technology sectors (Droby et al., 2019; Rolle, 2006; Wisniewski et al., 2016).

The current study analyzes the patent trends related to post-harvest management technology for fresh agricultural products using patent indices with multi-layer modeling, and technology categories. This prediction of future trends in patent technologies can help governments determine development strategies and research of post-harvest management technologies for rapidly expanding markets.

Materials and methods

Collection, classification and screening of patents

Patents related to fresh agricultural products registered in Korea, China, the European Union (EU), Japan, and the United States were collected. The post-harvest management technology patents related to fresh agricultural products (processed vegetables, fruit, and mushrooms) issued from January 1998 until December 2019 were collected using a worldwide intellectual property service. The EU collects patents from its 19 member states (or nations), all of which are members of the European Patent Convention (WIPS, 2020).

The collected patents were verified in four steps to remove noise from the initial data. First, 35,467 patents were collected from patent registries using keywords based on post-harvest management technology for fresh agricultural products. Then, redundant patents were removed based on the application numbers and patent titles. In addition, patents for the period 2018-2019 were removed, because patents are closed for 18 months after patent registration. Next, duplicate patents were manually removed based on the patent abstracts using country-specific patent search systems for China (SIPO, 2020), Japan (JPO, 2020), and Korea (KIPRIS, 2020). Finally, the specifications and scope of the patents were analyzed and verified with post-harvest management technology experts. The final, verified dataset included 1,517 effective patents for two technology categories and eight subcategories (Table 1).

Table 1. Classification of effective patents associated with packaging and storage with eight subcategories in four countries (Korea, USA, Japan and China) and the European Union
Category1) Subcategory ID Korea4) USA Japan China EU Total
Packaging2) Mushrooms P1 20 2 25 12 2 61
Fruit P2 39 24 161 19 14 257
Vegetables P3 19 20 52 21 13 125
Others P4 112 31 103 26 21 293
Storage3) Mushrooms S1 6 7 14 28 6 61
Fruit S2 42 20 50 124 8 244
Vegetables S3 40 16 51 64 6 177
Others S4 90 22 69 98 20 299
Total 368 142 525 392 90 1,517

Statistical significance with Duncan’s multiple range test.

1) Packaging and storage (p<0.01).

2) Four subcategories of packaging (p<0.04).

3) storage (p<0.02).

4) Five countries with eight subcategories (p<0.01).

Download Excel Table
Patent index for technology growth level

The patent portfolio (PP) index is a trend distribution used to evaluate the growth stage of technology sectors (Lin et al., 2006). The PP index was calculated for each of the eight categories for four time intervals 1998-2002, 2003-2007, 2008-2012, and 2013-2017. The PP index for the period 2018-2019 could not be computed, because patents are kept closed for 18 months after registration. The PP index was obtained using Equation (1):

P P c k = i = 1 n T P i / j = 1 m T A j c = 1 to 2, k =1 to 4
(1)

where c is the post-harvest management technology category, k is the period interval, TPi is the total number (n) of patents (i), and TAj is the total number (m) of patent applicants (j).

Patent indices for emerging technology trends

The emerging trend of patents shows the development potential of patents in a technology category (KIPI, 2005). The emerging trend can be estimated using the patent increase (PI) and patent sharing (PS) indices to evaluate the level of technology development for the different postharvest management technology categories. The PI index was calculated using Equation (2):

P I k = 100 ( T P k + 1 T P k ) / T P k k = 1998 to 2017
(2)

where k is the year and TPk is the number of patents in a standard year.

The PS index was calculated using Equation (3):

P S c s = 100 ( j = 1 m T S j / i = 1 n T P i ) c s = 1 to 8
(3)

where cs is the post-harvest management technology subcategory, TSj is the total number (m) of patents in a specific category (j), and TPi is the total number (n) of patents in all categories (i).

The average values of PS and PI were then calculated. These complex values are easily visualized in a scatter-plot, with the four quadrants of the plot indicating the different levels of technological development: upper right, continuous application; upper left, increase in recent applications; lower left, applications in infancy; and lower right, decrease in recent applications.

Patent index for technology growth potential

The technology cycle time (TCT) is a measure of the qualitative aspects of a patent technology (Kyebambe et al., 2017). It measures how fast the technology in a given area changes; a small value of TCT indicates rapidly changing technology within an area (Park et al., 2006).

A TCT model that estimates technology growth potential is based on three factors: PI, PS, and the market power ratio (MP). These three factors were quantified using Likert scales with five ordinal levels (Sullivan and Artino, 2013). The TCT model was obtained from Equation (4):

T C T k = A v e r a g e ( P I + P S + M P ) k = 1 to 4
(4)

where (PI + PS + MP) are the values of PI, PS, and MP for 5-year intervals (k).

The value of MP used in the TCT model was calculated using Equation (5):

M P k = 100 ( F P k + 1 F P k ) / T P k k = 1998 to 2017
(5)

where k is the year, TPk is the number of patents in a standard year (k), and FPk is the number of foreign patent applicants in a standard year (k).

Data statistical analysis

SAS/STAT ver. 12.1 software (SAS Korea, Seoul, Korea) was used for statistical analyses. A one-way analysis of variance (ANOVA) was performed with Duncan’s multiple range test to determine the effect of the year, country, and technology factors based on valid patent. For all statistical analyses, a significance level of 0.05 was used.

Results and discussion

Trends in post-harvest management technology for fresh agricultural products

A total of 1,517 valid patents were collected for the post-harvest management technology sector for fresh agricultural products issued from January 1998 to December 2017, including 525 (34.6%) from Japan, 392 (25.8%) from China, and 368 (24.3%) from Korea. The numbers of patent registrations varied until 2010, and then increased due to the rapid increase in Chinese applications (Table 2). China, Japan, and Korea were the countries with major applicants.

Table 2. Classification of the patents issued from 1998 to 2019 for post-harvest management technology for fresh agricultural products according to eight subcategories, for four countries (Korea, USA, Japan and China) and the European Union
Year1) Countries2) Post-harvest management technologies
Korea USA Japan China EU P1 P2 P3 P4 S1 S2 S3 S4
1998 13 10 19 0 9 2 9 2 11 4 5 2 16
1999 10 7 51 2 6 7 18 1 22 3 7 7 11
2000 18 5 31 3 2 10 12 5 14 0 5 3 10
2001 17 11 39 0 4 4 14 2 16 3 12 7 13
2002 11 8 36 3 7 2 8 5 18 4 6 5 17
2003 13 14 29 3 6 2 10 9 24 3 5 4 8
2004 18 13 25 3 6 5 8 10 15 0 7 5 15
2005 15 9 25 6 6 2 6 11 14 4 6 6 12
2006 7 4 27 2 5 1 11 3 14 4 2 4 6
2007 12 6 25 9 5 1 8 7 11 1 12 5 12
2008 19 2 19 9 4 3 15 4 8 1 4 6 12
2009 24 5 15 14 0 1 7 7 12 1 13 7 10
2010 17 4 14 10 1 1 8 1 10 3 7 7 9
2011 25 5 12 12 7 0 9 8 15 3 8 10 8
2012 16 3 24 22 7 1 17 8 14 3 10 9 10
2013 19 6 22 41 5 4 18 6 12 2 22 14 15
2014 28 10 25 34 3 1 17 0 11 4 21 22 24
2015 34 6 20 56 5 2 19 5 21 2 29 14 29
2016 22 11 22 71 1 6 18 9 14 8 30 15 27
2017 30 3 45 92 1 6 25 22 17 8 33 25 35
Total 368 142 525 392 90 61 257 125 293 61 244 177 299

Statistical significance with Duncan’s multiple range test.

1) Year from 1998 to 2017 (p<0.01).

2) Five countries (p<0.01).

Download Excel Table

The patent growth in China coincided with Chinese government policy to enhance the competitiveness of their fresh agricultural products (Rolle, 2006). The packaging and storage technology categories showed similar patterns. Packaging and storage are important aspects for post-harvest handling of fresh agricultural products (Lee et al., 2018). In each category, the packaging sector showed little variation in the number of registrations, while the number of registrations in the storage sector increased rapidly after 2013 (Fig. 1). Overall post-harvest management technologies, and particularly fruit storage technologies, have shown an explosive increase in patent applications since 2013. This increase coincides with an increase in the overall size of the Chinese agricultural market (Sheng et al., 2019).

kjfp-27-4-423-g1
Fig. 1. Trend in technology growth based on the numbers of annual patents and growth rate. x-axis, year; y-axis, number of patents; sub-axis, annual growth rate (%). “Packaging” and “Storage” are the two post-harvest management technologies for fresh agricultural products. The statistical significance of factors is the annual growth rate (p<0.01), packaging category (p<0.01), storage category (p<0.01).
Download Original Figure

A patent distribution map is used to synthesize patent information, including patent counts, national contributions, and patent applicants. Eight of the top 10 applicants for post-harvest management technology-related patents were companies from Japan and USA, with only two Korean institutes on the list (RDA and KFRI). In each product category, Japan had the most applications, followed by Korea (Table 3). Japan’s 34.6% patent share is presumed to arise from the simplified patent specification process for fresh agricultural products (Ryu, 2016). In Korea, major patent applicants are the Rural Development Administration of South Korea (RDA) and Korea Food Research Institute (KFRI). All the other main applicants are multi-national companies. Sumitomo Bakelite Co. Ltd. Group was the top applicant and had the most patents for fruit in the packaging category (Fig. 2). Internationally, post-harvest management technology for fresh agricultural products has been developed by multi-national companies. Therefore, the Korean government needs to support technology development by companies via international policy, such as increasing the export of agricultural products.

kjfp-27-4-423-g2
Fig. 2. Patent landscape of major applicants based on the eight post-harvest management technology subcategories. x-axis, four upper subcategories of packaging technology and four lower subcategories of storage technology; y-axis, patent applicants which are Sumitomo Bakelite Co., Ltd. Group, Mitsui Chemicals Inc., Korea Food Research Institute, Rural Development Administration of South Korea, Toyobo Co., Ltd., QP Corp, Mitsubishi Gas Chemical Co., Inc., AgroFresh Co., Ltd., Landec Corp., and Chiquita Co.. Circle sizes are the relative correlation between the numbers of patents and applicants.
Download Original Figure
Table 3. The 10 largest patent applicants for harvest technology by nationality
No. Applicants Country Patents Ratio (%)1)
1 Sumitomo Bakelite Co., Ltd. Group Japan 111 118
2 Mitsui Chemicals Inc. Japan 41 525
3 Korea Food Research Institute Korea 26 11
4 Rural Development Administration of South Korea Korea 22 120
5 Toyobo Co., Ltd. Japan 21 -50
6 QP Corp. Japan 18 -42
7 Mitsubishi Gas Chemical Co., Inc. Japan 12 -83
8 AgroFresh Co., Ltd. USA 11 166
9 Landec Corp. USA 10 -100
10 Chiquita Co. USA 10 -75

1) The proportional change in patents for 2013-2017.

Download Excel Table
Growth stage of post-harvest management technology

The growth of post-harvest management technology has been classified into five developmental stages: beginning, growth, maturity, decline, and recovery (Choi et al., 2019). The PP index showed that post-harvest management technology as a whole is in the growth stage because the numbers of patents and applicants increased continually, although they decreased in some countries in the early period (1998-2002). Post-harvest management technology is at a mature stage of development, largely because of the rapid increase in the number of patents registered after 2013 in China. Korea, the USA, and Japan are in the recovery stage in the numbers of both patents and applicants, although the numbers of applicants and applications have recently increased rapidly. The EU technology stage could not be determined because of the small number of patents registered there (Fig. 3). The number of patents in Korea increased markedly in the period 2008-2017. The development of packaging and storage technology is increasing rapidly because of the Korean government’s policy to increas the export of agricultural products (RDA, 2018). China is in a growth stage, as the numbers of applicants and applications have increased rapidly from 2003. The rapid increase in patents indicates that it was the closest to a completely free competitive market, meaning that it is less complicated to enter the post-harvest management technology market in China, compared with other countries (Rolle, 2006; Sheng et al., 2019). Regarding the technology position for the two categories, packaging technology is in the recovery stage, and applicants/applications in storage technology continue to grow. For the different subcategories, the growth pattern of fruit technology is in the recovery stage of development, reflected by a continuous increase in the numbers of patents registered during all periods except the initial period (1998-2002) (Fig. 4).

kjfp-27-4-423-g3
Fig. 3. Landscape of technology growth for each country based on the patent portfolio (PP). The time periods were: I, 1998-2002; II, 2003-2007; III, 2008-2012; and IV, 2013-2017. x-axis, number of applicants; y-axis, number of patents. Circle sizes indicate the relative correlation between the numbers of patents and applicants.
Download Original Figure
kjfp-27-4-423-g4
Fig. 4. Patent portfolio (PP) landscape of the growth trend in post-harvest management technology based on two technology categories with subcategories. (A), Packaging; (B), storage technology stages. The time periods were: I, 1998-2002; II, 2003-2007; III, 2008-2012; and IV, 2013-2017. x-axis, number of applicants; y-axis, number of patents. Circle sizes indicate the relative correlation between the numbers of patents and applicants.
Download Original Figure

The technology growth of post-harvest patents can be estimated using the PI and PS indices. Storage technology has high market competitiveness and a relatively low technology level, whereas packaging technology has low market competitiveness despite a high technology level. Regarding storage category, the patent indices showed an increase in applications for fruit and other technologies, and a decrease in applications for mushroom and vegetable technologies. For the packaging category, there was an increase in recent applications for mushroom technology, vegetable technology was in the infancy stage, and there were decreases in applications for fruit and other technologies (Fig. 5). Although fruit and other technologies in the packaging category show decreasing trends, related technology should have high development potential due to the increase in the use of agricultural products to promote well-being (Taghizadeh et al., 2010; Yun, 2014).

kjfp-27-4-423-g5
Fig. 5. Landscape between technology level and the development potential of post-harvest management technology for fresh agricultural products. The scatterplot shows the potential for technology development based on the patent emerging plot between the patent increase ratio (PI) and patent sharing ratio (PS). x-axis, PS; y-axis, PI. Symbol sizes indicate the numbers of patents. Quadrants based on the dotted lines: upper right, continuous application; upper left, recent increase in applications; lower left, applications in infancy; lower right, recent decrease in applications.
Download Original Figure
Patent development strategy for post-harvest management technology in Korea

In terms of a patent development strategy for post-harvest management technology in Korea, the patent indices and technology cycle time (TCT) model can predict the developmental potential of specific technology categories. A TCT model was developed using three factors: the patent increase (PI), patent sharing (PS), and market power (MP) indices. This model can measure the development prospects within a specific technology category. The growth potential of post-harvest management technology was at the fourth highest of five levels because patent applications increased by 168.8%, the patent share ratio fell to 36.6%, and the market power increased 111.3%.

This means that developing post-harvest management technology for fresh agricultural products has high growth potential. In the future, the market of fresh agricultural products will grow continuously (RDA, 2018; Yun, 2014), and related patents are thought to have explosive growth trends, as shown by the high recent increase in patent applications (i.e., 168.8%) in China. The Chinese market is considered the most favorable for post-harvest patent development, because the market concentration and technology competitiveness there are low compared with other countries (Table 2, Fig. 2). This means that China is expected to take the lead in market pre-occupation by domestic companies and research institutes, and that it is easier to enter the Chinese market compared with other countries (Lee, 2018).

In recent years, the PI and PS indices indicated that storage technology has high development potential, whereas packaging technology has low development potential (Figs. 1 and 5). Patent development for fruit technologies in the packaging category has a high risk due to a decreasing market with many technologies. However, new vegetable technologies may develop because this is a beginning market. The patent indices also suggest that mushroom technology will increase in the future with the rapidly growing international agriculture market (Fig. 5).

In Korea, post-harvest management technology is a source business that greatly influences the agricultural industry via the production of high-value materials that complement shortcomings in the long-term distribution of fresh agricultural products. The development of patents for fresh agricultural products is expected to increase because of increased demand for healthy foods (Choi et al., 2019; Yun, 2014). The current study predicts the future trends in post-harvest management technology for fresh agricultural products using multi-layer patent indices. This study provides information that can be used to estimate patent competitiveness and devise development strategies for rapidly expanding international global markets for fresh agricultural products.

Acknowledgment

This study was supported by the “Research Program for Agriculture Science & Technology Development (Project no. PJ01353603)” Rural Development Administration, Korea and “Research Program for Export Promotion Technology Development Program (Project no. 617067-05-4-SB410)” Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry (IPET) funded by the Ministry of Agriculture, Food, and Rural Affairs (MAFRA).

Conflict of interests

The authors declare no potential conflict of interest.

References

1.

Baselice A, Colantuoni F, Lass DA, Nardone G, Stasi A. Trends in EU consumers’ attitude towards fresh-cut fruit and vegetables. Food Qual Prefer, 59, 87-96 (2017)

2.

Cen H, Lu R, Zhu Q, Mendoza F. Non destructive detection of chilling injury in cucumber fruit using hyperspectral imaging with feature selection and supervised classification. Postharvest Biol Technol, 111, 352-361 (2016)

3.

Choe JH, Kim HJ. Freshness maintenance technology for pioneering export markets of fresh-cut products. Food Preservation and Processing Industry, 14, 50-55 (2015)

4.

Choi JW, Choi H, Kim JG, Lee JH, Kim CK, Shin IS, Hong YP. Review of postharvest management to expand the export of fresh perilla leaves. Korean J Food Preserv, 26, 730-739 (2019)

5.

Choi JW, Kim SY, Yu GE, Kim CK. Technology trends and patenting prospects of medicinal plants in Korea. Korean J Medicinal Crop Sci, 27, 75-85 (2019)

6.

Droby S, Wisniewski M, Macarisin D, Wilson C. Twenty years of postharvest biocontrol research: is it time for a new paradigm?. Postharvest Biol Technol, 52, 137-145 (2009)

7.

Florez-Lopez ML, Cerqueira MA, de Rodriguez DJ, Vicente AA. Perspectives on utilization of edible coatings and nano-laminate coatings for extension of postharvest storage of fruit and vegetables. Food Eng Rev, 8, 292-305 (2016)

8.

Japan Patent Office (JPO). https://www.jpo.go.jp/ (accecced Jan 2020)

9.

Kim KH, Chae MS, Shim W, Kwon OJ. An evaluation for quality of performance of international R&D cooperation by analyzing patent information. J Korea Technol Innov Soc, 15, 722-743 (2012)

10.

Korea Institute of Patent Information (KIPI). Patent Analysis Methodology for Creating Technology Roadmap. Korea Institute of Patent Information, Daejeon, Korea, p 123-131 (2005)

11.

Korean Intellectual Property Rights Information Service (KIPRIS). http://www.kipris.or.kr/ (accecced Jan 2020)

12.

Kyebambe MN, Cheng G, Huang Y, He C, Zhang Z. Forecasting emerging technologies: A supervised learning approach through patent analysis. Technol Forecast Soc Change, 125, 236-244 (2017)

13.

Lee BS. Distribution of Korean food (agricultural product) in China. Food Preservation and Processing Industry, 17, 21-30 (2018)

14.

Lee JH, Choi JW, Chang EH, Shin IS, Hong YP. Quality changes in mushroom (Agaricus bisporus) due to storage temperature and packing film. Korean J Food Preserv, 25, 742-753 (2018)

15.

Lin BW, Chen CJ, Wu HL. Patent portfolio diversity, technology strategy, and firm value. IEEE Trans Eng Manage, 53, 17-26 (2006)

16.

Murray K, Wu F, Shi J, Xue SJ, Warriner K. Challenges in the microbiological food safety of fresh produce: Limitations of post-harvest washing and the need for alternative interventions. Food Qual Saf, 1, 289-301 (2017)

17.

Ncama K, Magwaza LS, Mditshwa A, Tesfay SZ. Plant-based edible coatings for managing postharvest quality of fresh horticultural produce: A review. Food Packaging Shelf Life, 16, 157-167 (2018)

18.

Park G, Shin J, Park Y. Measurement of depreciation rate of technological knowledge: Technological cycle time approach. J Sci Ind Res, 65, 121-127 (2006)

19.

Rolle RS. Improving postharvest management and marketing in the Asia-Pacific region: Issues and challenges. In: Postharvest Management of Fruit and Vegetables in the Asia-Pacific Region, Reports of APO and FAO seminar, APO 92-833-7051-1, p 23-31 (2006)

20.

Rural Development Administration (RDA). 2018 Agri-food Consumption Trend Analysis. RDA, Jeonju, Korea, p 92-97 (2018)

21.

Ryu KH. Japan’s Functional Food Related Patent Examination Standard Revision Trend. Issue Paper of Korea Institute of Intellectual Property, p 21-30 (2016)

22.

Sheng Y, Tian X, Qiao W, Peng C. Measuring agricultural total factor productivity in China: Pattern and drivers over the period of 1978-2016. Aust J Agric Resour Econ, 64, 82-103 (2019)

23.

State Intellectual Property Office (SIPO). http://english.sipo.gov.cn/ (accecced Jan 2020)

24.

Sullivan GM, Artino Jr AR. Analyzing and interpreting data from likert-type scales. J Grad Med Educ, 5, 541-542 (2013)

25.

Taghizadeh M, Gowen A, Ward P, O’Donnell CP. Use of hyperspectral imaging for evaluation of the shelf-life of fresh white button mushrooms (Agaricus bisporus) stored in different packaging films. Innovative Food Sci Emerging Technol, 11, 423-431 (2010)

26.

Wisniewski M, Droby S, Norelli J, Liu J, Schena L. Alternative management technologies for postharvest disease control: The journey from simplicity to complexity. Postharvest Biol Technol, 122, 3-10 (2016)

27.

Worldwide Intellectual Property Service (WIPS). http://www.wipson.com/ (accecced Jan 2020)

28.

Yoon JY, Ryu TK, Yoon JH. A study on patent indexes for characteristics analysis of IP portfolios. J Information Management, 43, 67-83 (2012)

29.

Yun GS. Development plan of fresh-cut food according to food cultural change. Preservation and Processing Industry, 13, 26-31 (2014)

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