i-manager Publications

A Study on Demand Planning at Tumkur District Regional Cooperative Organic Farmers Organization Federation (TDRCOFOF)

Divya Sri Ramalingam*, A. C. Lokesh**

* Department of Management and Commerce, M. S. Ramaiah University of Applied Sciences, Bangalore, Karnataka, India.

** Department of Food Science and Technology, M. S. Ramaiah University of Applied Sciences, Bangalore, Karnataka, India.

Periodicity:June - August'2019
DOI : https://doi.org/10.26634/jit.8.3.16549

Abstract

Under Government of Karnataka, 15 organizations are registered as organic federations. The Tumkur District Regional Co-operative Organic Farmers Organization Federation (TDRCOFOF) is one among the registered federations. Current operations of the federation are managed by entering data in an Excel sheet and flow of information is carried out through telephonic calls. As a result of unorganized flow of information, the federation is unable to forecast or guarantee the customer about delivery of products at specific date due to lack of data about the type of crops, quantity and harvest period. To address this issue, a thorough analysis of the data flow management of the federation was carried out, which revealed the gap in seamless communication and lack of a dashboard system for decision making. Hence, an application has been designed for achieving a seamless communication between the farmers, federation and customer. For the application design process, Object Oriented Analysis and Design (OOAD) and Structured System Analysis and Design (SSAD) tools were screened and OOAD was chosen due to its cost-effectiveness and ease of use. After implementing the application, the generation of reports happen in less than 5 minutes, with substantial data for decision making and strategize business operations.

Keywords

Application Design, Data Management System, Decision Making, Forecast.

How to Cite this Article?

Ramalingam,D.S., Lokesh, A.C.(2019). A Study on Demand Planning at Tumkur District Regional Cooperative Organic Farmers Organization Federation (TDRCOFOF), i-manager's Journal on Information Technology, 8(3), 9-22. https://doi.org/10.26634/jit.8.3.16549

References

[1]. Agashe, R., Verma, S. & Singh, P. (2019). Opinion of farmers regarding effectiveness of information dissemination through kisan suvidha mobile application in surguja district of Chhattisgarh. Scientists Joined as Life Member of Society of Krishi Vigyan,7(2), 270-272.

[2]. Chand, R., & Raju, S. S. (2009). Instability in Indian agriculture during different phases of technology and policy. Indian Journal of Agricultural Economics, 64(2), 187-207.

[3]. Dhaka, B. L., & Chayal, K. (2016). Farmers' experience with ICTs on transfer of technology in changing agri-rural environment. Indian Research Journal of Extension Education, 10(3), 114-118.

[4]. Furuholt, B., & Matotay, E. (2011). The developmental contribution from mobile phones across the agricultural value chain in rural Africa. The Electronic Journal of Information Systems in Developing Countries, 48(1), 1-16. https://doi.org/10.1002/j.1681-4835.2011.tb00343

[5]. Gawade, S., & Turkar, V. (2017). Analysis of digital media compatibility with farmers in Maharashtra and recommendation of service provider design framework 'E-Krishimitra. In International Journal of Applied Agricultural Research, 12(1), 77-86.

[6]. Gayatri, M. K., Jayasakthi, J., & Mala, G. A. (2015, July). Providing smart agricultural solutions to farmers for better yielding using IoT. In 2015 IEEE Technological Innovation in ICT for Agriculture and Rural Development (TIAR) (pp. 40-43). IEEE. https://doi.org/10.1109/TIAR.2015. 7358528

[7]. Gondchawar, N., & Kawitkar, R. S. (2016). IoT based smart agriculture. International Journal of Advanced Researchin Computer and Communication Engineering, 5(6), 838-842.

[8]. Kijima, Y., Otsuka, K., & Sserunkuuma, D. (2011). An inquiry into constraints on a green revolution in Sub- Saharan Africa: The case of NERICA rice in Uganda. World Development, 39(1), 77-86. https://doi.org/10.1016/j. worlddev.2010.06.010

[9]. Kumar, S. M., Suman, S., Kulkarni, U. P., & Siddalingaswamy, N. H. (2019). Feasibility study of effective usage of available agricultural information system for various village boundaries of India. Journal of Robotics and Mechanical Engineering Research, 3(2), 1-7.

[10]. Monali, A. T., Payal, S. J., Komal, C. R., Prachi, P. S., & Dipak, V. B. (2016). Android based solution for indian agriculture management: A design paper. International Journal of Current Trends in Engineering & Research (IJCTER), 2(1), 17-19.

[11]. Oster, E., & Thornton, R. (2009). Determinants of technology adoption: Private value and peer effects in menstrual cup take-up (No. w14828). National Bureau of Economic Research, 1-39. https://doi.org/10.3386/ w14828

[12]. Patel, H., & Patel, D. (2014). A brief survey of data mining techniques applied to agricultural data. International Journal of Computer Applications, 95(9), 6- 8.

[13]. Patodkar, V., Simant, S., ShubhamSharma.,Shah,C., & Godse, S. (2015). E-Agro android application (Integrated farming management systems). International Journal of Engineering Research and General Science, 3(3), 458-465.

[14]. Pearson, D., Henryks, J., & Jones, H. (2011). Organic food: What we know (and do not know) about consumers. Renewable Agriculture and Food Systems, 26(2), 171- 177. https://doi.org/10.1017/S1742170510000499

[15]. Pescher, C., Reichhart, P., & Spann, M. (2014). Consumer decision-making processes in mobile viral marketing campaigns. Journal of interactive marketing, 28(1), 43-54. https://doi.org/10.1016/j.intmar.2013.08. 001

[16]. Ramya, M.N., & Kaliyamurthy, K. (2019). The buying behaviour of farmers towards micronutrients in the digital age: A review. A Journal of Composition Theory, 966-972.

[17]. Salkute, V. R., & Kolhe, S. R. (2011). E-Government milestone in rural- india: E-agro aspects. International Journal of Enterprise Compuitng and Business system. 1(2), 1-15.

[18]. Sindhu, M. R., Pabshettiwar, A., Ghumatkar, K. K., Budhehalkar, P. H., & Jaju, P. V. (2012). E-Farming. In International Journal of Computer Science and Information Technologies (IJCSIT), 3(2), 3479-3482.

[19]. Sithole, B., Silva, S. G., & Kavelj, M. (2016). Supply chain optimization: Enhancing end-to-end visibility. Procedia Engineering, 159, 12-18. https://doi.org/10. 1016/j.proeng.2016.08.058

[20]. Tadesse, G., & Bahiigwa, G. (2015). Mobile phones and farmers' marketing decisions in Ethiopia. World Development, 68, 296-307. https://doi.org/10.1016/j. worlddev.2014.12.010

[21]. TongKe, F. (2013). Smart agriculture based on cloud computing and IoT. Journal of Convergence Information Technology, 8(2), 1-17. https://doi.org/10.4156/ jcit.vol8.issue2.26

[22]. Vuran, M. C., Salam, A., Wong, R., & Irmak, S. (2018). Internet of underground things in precision agriculture: Architecture and technology aspects. Ad Hoc Networks, 81, 160-173. https://doi.org/10.1016/j.adhoc.2018.07. 017

A Study on Demand Planning at Tumkur District Regional Cooperative Organic Farmers Organization Federation (TDRCOFOF)

Abstract

Keywords

How to Cite this Article?

References

If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Options for accessing this content:

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Pdf	35	35	200	20
Online	35	35	200	15
Pdf & Online	35	35	400	25