Assisting Knowledge Dissemination of Postpartum Beef Cows Management using Smartphone-Based Technology

Authors

  • Sureeporn SAENGWONG School of Agriculture and Natural Resources, University of Phayao, Phayao 56000, Thailand https://orcid.org/0000-0003-0914-0942
  • Payungsuk INTAWICHA School of Agriculture and Natural Resources, University of Phayao, Phayao 56000, Thailand
  • Phuwitsorn PHUWISARANAKOM School of Information and Communication Technology, University of Phayao, Phayao 56000, Thailand

DOI:

https://doi.org/10.48048/wjst.2021.10695

Keywords:

Beef cattle, Knowledge test, Mobile app, Postpartum cow

Abstract

This study led to four key findings: 1) farmers’ demographics and farm characteristics, 2) mobile phone usage, 3) a postpartum cow management knowledge test, and 4) the development of a Postcow mobile app as a learning tool. A total of 40 smallholder beef cattle farmers were selected for the study from October to November 2019. The results revealed that the farmers were 72.50 % males, and over half of the farmers were more than 50 years of age, 57.50 %, with primary school level being their highest education level at 65 %. It was also found that 47.50 % of the respondents had never searched for new knowledge from any sources about postpartum cow management. The responses indicated that all of the respondents used mobile phones with Android operation systems with access to the internet-enabled. The main reason for their use of mobile phones was to make and receive calls (57.14 %), and the most visited platform was Line (52.50 %). With regards to the downloading of any livestock apps, about 90 % of the respondents had never downloaded any before. The results of the farmers’ knowledge test demonstrated that the overall average score was 31.25 % of questions being answered correctly. In terms of mobile app development, the main features included a farmer knowledge test, cow production cycle, after calving management practices, feeding practices, general health care practices, and cow individual records and notifications. Our findings highlighted the need for more emphasis on making farmers aware of new technology for increased farm productivity performances.

HIGHLIGHTS

  • Mobile app making farmers aware of new technology for increased farm productivity performances
  • The Postcow app was designed to enable farmers to gain knowledge about postpartum cow management practices
  • All of the farmers have access to the internet and ready to obtain the new technology

GRAPHICAL ABSTRACT


Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

References

Department of livestock development. Number of livestock inventory (in Thai). Available at:

http://ict.dld.go.th/webnew/index.php/th/service-ict/report/323-report-thailandlivestock/reportservey

/1372-2562-prov, accessed March 2020.

S Saengwong, T Wiranut, J Wichapon and P Intawicha. The study of rearing conditions, constraints and opportunities assessment of quality beef cattle production in Phrae Province (in Thai). King Mongkut’s Agric. J. 2020; 38, 254-62.

M Osothongs, J Khemsawat, M Sarakul, D Jattawa, T Suwanasopee and S Koonawootrittriron. Current situation of beef industry in Thailand. In: Proceedings of the International Symposium in Dairy cattle beef up beef industry in Asia: Improving productivity and environmental sustainability, Thailand. 2016, p. 5-8.

M Michels, W Fecke, JH Feil, O Musshoff, J Pigisch and S Krone. Smartphone adoption and use in agriculture: empirical evidence from Germany. Precis. Agric. 2020; 21, 403-25.

Statista. Number of smartphone users worldwide from 2016 to 2021 (in billions). Available at: https://www.statista.com/statistics/330695/number-of-smartphone-users-worldwide, accessed 17 March 2020.

C Costopoulou, M Ntaliani and S Karetsos. Studying mobile apps for agriculture. IOSR J. Mob. Comput. Appl. 2016; 3, 44-9.

O Mapiye, G Makombe, C Mapiye and K Dzama. Management information sources and communication strategies for commercially oriented smallholder beef cattle producers in Limpopo province, South Africa. Outlook Agr. 2019; 49, 1-7.

J Xin, FS Zazueta, P vergot, X Mao, N Kooram and Y Yang. Delivering knowledge and solutions at your fingertips: strategy for mobile app development in agriculture. Agric. Eng. Int. CIGR J. 2015; SI, 317-25.

A Adams, R Omari and KR Teng-Viel. Smartphone usage in the greater Accra Region of Ghana: What are the critical drivers? Int. J. Asian Soc. Sci. 2020; 10, 129-41.

AR Chhachhar, HB Makhijani, GM Khushk and ZA Maher. Information communication technology for agriculture development. J. Am. Sci. 2013; 9, 83-88.

AR Chhachhar, B Qureshi, GM Khushk and S Ahmed. Impact of information and communication technologies in agriculture development. J. Basic. Sci. Res. 2014; 4, 281-8.

NA Khan, G Qijie, S Ali, B Shahbaz and AA Shah. Farmers use of mobile phone for accessing agricultural information in Pakistan: A case of Punjab province. Cienc. Rural. 2019; 49, 1-12.

Kamal. Farmers’ Knowledge of ICT Interventions in Indian Agriculture Sector. 2020.

C Fuchs. Everyday life and everyday communication in coronavirus capitalism. tripleC: Communication, Capitalism & Critique. Open Access J. Glob. Sustain. Inform. Soc. 2020; 18, 375-99.

Climate-data. Available at: https://en.climatedata.org/asia/thailand/phayao province/phayao-4206, accessed March 2020.

DV Dung, H Roubík, LD Ngoan, LD Phung and NX Ba. Characterization of smallholder beef cattle production system in central Vietnam-revealing performance, trends, constraints, and future development. Trop. Anim. Sci. J. 2019; 42, 253-60.

R Widiati and TSM Widi. Production systems and income generation from the smallholder beef cattle farming in Yogyakarta Province, Indonesia. Anim. Prod. 2016; 18, 51-8.

C Lambertz, C Chaikong, J Maxa, E Schlecht and M Gauly. Characteristics, socioeconomic benefits and household livelihoods of beef buffalo and beef cattle farming in Northeast Thailand. J. Agr. Rural Dev. Trop. 2012; 113, 155-64.

T Suppadit, N Phumkokrak and P Poungsuk. Adoption of good agricultural practices for beef cattle farming of beef cattle-raising farmers in Tambon Hindard, Dan Khunthod distrct, Nakhon Ratchasina province, Thailand. KMITL Sci. Tech. J. 2006; 6, 67-73.

M Sugiarto, S Nur, OE Djatmiko and A Einstein. Factors determining the farmer’s decision to develop their beef cattle farming in the Southern Coastal Areas of Central Java. IOP Conf. Earth Environ. Sci. 2019; 255, 1-7.

W Krasachat. Livestock production systems and technical inefficiency of feedlot cattle farms in Thailand. Southeast Asian J. Econ. 2008; 20, 141-54.

LS Kalangi, Y Syaukat, SU Kuntjoro and A Priyanti. The characteristics of cattle farmer households and the income of cattle farming businesses in East Java. J. Agric. Vet. Sci. 2014; 7, 29-34.

MG Diskin and DA Kenny. Optimising reproductive performance of beef cows and replacement heifers. Animal 2014; 8, 27-39.

A Na-Chiangmai. Current situation and development trends of beef production in Thailand. In: Proceedings of the Australian Centre for International Agriculture Research. Thailand, 2001, p. 93-7.

M Sugiarto, YN Wakhidati, A Einstein and DM Saleh. The influence of artificial insemination (AI) cost to profitability of beef cattle farming in Banjarnegara district, Central Java province, Indonesia. IOP Conf. Earth Environ. Sci. 2019; 247, 1-6.

HC D’Andre, E Cyprian, M Jules, M Mupenzi, N Felix and WP Amponsah. Livestock farming and management: The case of meat production and processing in Rwanda Asian J. Anim. Sci. 2017; 11, 96-107.

OS Ajwang and AJ Onyango. Evaluation of existing architecture for M-Mining market access information among sugarcane farmers in Migori County, Kenya. J. Comput. Sci. Telecommun. 2017; 8, 1-5.

F Aldosari, MS Al Shunaifi, MA Ullah, M Muddassir and MA Noor. Farmers’ perceptions regarding the use of Information and Communication Technology (ICT) in Khyber Pakhtunkhwa, Northern Pakistan. J. Saudi Soc. Agric. Sci. 2017; 18, 211-7.

B Daniso, M Muche, B Fikadu, E Melaku and T Lemma. Assessment of rural households’ mobile phone usage status for rural innovation services in Gomma Woreda, Southwest Ethiopia. Cogent Food Agric. 2020; 6, 1-13.

N Dlodlo and J Kalezhi. The internet of things in agriculture for sustainable rural development. In: Proceedings of the 2015 International Conference on Emerging Trends in Networks and Computer Communications. 2015, p. 13-8.

E Pangaribowo and N Gerber. Technological and Institutional Innovations for Marginalized Smallholders in Agricultural Development. In: Innovations for Food and Nutrition Security: Impacts and Trends. eBook, Springer, 2016, p. 41-64.

AR Chhachhar, B Qureshi, GM Khushk and S Ahmed. Impact of information and communication technologies in agriculture development. J. Basic. Appl. Sci. 2014; 4, 281-8.

NBTC. Office of The National Broadcasting and Telecommunications Commission. Available at: http://webstats.nbtc.go.th/netnbtc/INTERNETUSERS.php, accessed March 2020.

Digital Thailand Report. Available at: https://www.bullvpn.com/en/blog/detail/digital-thailand-2019 Climate-data.org, accessed March 2020.

E Olaniyi. Digital agriculture: Mobile phones, internet & agricultural development in Africa. Actual Problems of Economics, 2018, p. 76-90.

A Dharanipriya and C Karthikeyan. Use of smart phones by farmers as a tool for information support in agriculture. J. Krishi Vigyan 2019; 7, 251-6.

K Satcharoen. Mobile phone background design for older adults: A case study of line. Int. J. Comput. Theory Eng. 2019; 11, 31-4.

F Ozdamli and N Cavus. Basic elements and characteristics of mobile learning. Proc. Soc. Behav. Sci. 2011; 28, 937-42.

C Sanga, M Mlozi, R Haug and S Tumbo. Mobile learning bridging the gap in agricultural extension service delivery: Experiences from Sokoine University of Agriculture, Tanzania. Int. J. Educ. Develop. ICT 2016; 12, 108-27.

National Strategy Secretariat Office. National strategy 2018-2037 (summary). Available at: https://www.bic.moe.go.th/images/stories/pdf/National_Strategy_Summary.pdf, accessed March 2020.

JS Tata and PE McNamara. Impact of ICT on agricultural extension services delivery: Evidence from the Catholic Relief Services SMART skills and Farmbook project in Kenya. J. Agr. Educ. Ext. 2018; 24, 89-110.

GH Hoang. Adoption of mobile phone for marketing of cereals by smallholder farmers in Quang Dien District of Vietnam. J. Agric. Ext. 2020; 24, 106-17.

DM Mwansa. Demystifying learning and knowledge: Extending the scope of literacy. Adult Educ. Develop. 2004; 61, 87-98.

A Afzal, FS Al-Subaiee and AA Mirza. The attitudes of agricultural extension workers towards the use of e-extension for ensuring sustainability in the Kingdom of Saudi Arabia. Sustainability 2016; 8, 1-10.

Downloads

Published

2021-05-25

How to Cite

SAENGWONG, S. ., INTAWICHA, P. ., & PHUWISARANAKOM, P. . (2021). Assisting Knowledge Dissemination of Postpartum Beef Cows Management using Smartphone-Based Technology. Walailak Journal of Science and Technology (WJST), 18(11), Article 10695 (12 pages). https://doi.org/10.48048/wjst.2021.10695