Web-Based Market Information System for Farmers in Palestine

Yousef Saleh Abuzir, Waleed Abdullah Awad, Mohamad Hamdi Khdair


The advances in information and communication technologies (ICTs) provide great tools for development in Palestine, especially utilizing the availability of internet access through web-based applications. One important sector to benefit from ICT tools is the agricultural sector. Farmers need to be empowered with technology to make the best use of the scarce resources of the farm. The main objective is to identify and analyze relevant material and information flows, production processes, and their interconnections and synergies in the agriculture sector. Market Information Systems for Farmers (MISF) is an information system used to gather, analyze, and disseminate information about agricultural yields, prices, and other information, such information is relevant to farmers, traders, dealers, and others involved in handling agricultural products. In this paper, we propose a system that will address some of the problems facing the farmer markets. This new approach will make the farmer and the buyers responsible for uploading their agricultural products, harvest data, and price information using the MISF website and the MISF application on their mobile devices. In this research, a descriptive approach was used to analyze the agricultural information marketing system. First, data related to our system was gathered using a literature review of research, reports, questionnaires, and site visits. We then used an Object-Oriented Approach to apply a system analysis and represent our solution using UML Notation, graph, figures, and tables. In this paper, we will try to address some of the problems facing the farmer markets. The proposed system will facilitate trade by creating a capacity for sellers to contact individual buyers. This system will provide information on what agricultural products are in demand by analyzing consumer consumption and market trends. The system will collect demographic details such as the types of crops grown, crop size, prices, cost, and maybe access to the type of irrigation, soil, and fertilizers as inputs from the farmers as well as other information about crops consumption. The data gathered by the proposed system can be used to advise farmers about needed crops and suggest ways to help them lower costs and improve productivity; this can be achieved using data mining techniques and maybe the Internet of Things (IoT). In general, the system will track farmers’ daily activities, businesses and provide ongoing support in areas such as labor, costs, yields management, crops consumption, harvest management, market price discovery, and strong relation with buyers.


Market Information Systems, Web Application, Farm Management, Farm software.

Full Text:



- Abdallah W., Khdair M., Ayyash M ., Issa , A. IoT system to control greenhouse agriculture based on the needs of Palestinian farmers, International Conference on Future Networks and Distributed Systems, June 2018.

- Abuzir Y., Awad W., and Khdair M. (2021), Market Information System for Farmers, Palestinian Journal of Technology and Applied Sciences, under review (2021).

- Abuzir Y., Predict the Main Factors that Affect the Vegetable Production in Palestine Using WEKA Data Mining Tool, Palestinian Journal of Technology and Applied Sciences, pp 58-71, No 1 (2018).

- Aker, J. (2010). Information from markets near and far: mobile phones and agricultural markets in Niger. American Economic Journal: Applied Economics, 23.

- Belakeri P., Prasad C. K., Bajantri S., (2017) Trends of Mobile Applications in Farming, July 2017 International Journal of Current Microbiology and Applied Sciences 6(7):2499-2512 DOI: 10.20546/ijcmas.2017.607.295

- Chikuni, T.; Kilima, F. (2019) Smallholder farmers’ market participation and mobile phone-based market information services in Lilongwe, Malawi. Electr. J. Inf. Syst. Dev. Ctries. 2019,

- COMCEC(2018) Improving Agricultural Market Performance: Developing Agricultural Market Information Systems, Comcec Coordination Office February 2018

- David-Benz H., Galtier F., Egg, J., Lançon, F. & Meijerink, G. (2011) “Market Information Systems: Using information to improve farmers’ market power and farmers organizations’voice”. Available at: http://www.esfim.org./wp-content/uploads/policy-brief7-english.pdf.

- David-Benz H., Egg J., Galtier F., Rakotoson, J., Shen, Y., & Kizito, A. (2012). Information systems on agricultural markets in sub-Saharan Africa: from the first to the second generation. (AFD, Ed.) Paris: Focales 14.

- David-Benz H., Andriandralambo N., Soanjara H., Chimirri C., Rahelizatovo N. & Rivolala B. (2016). Improving access to market information: a driver of change in marketing strategies for small producers? Paper prepared for the 149th European Association of Agricultural Economists Seminar on Structural change in agri-food chains: new relations between farm sector, food industry and retail sector. 27-28 October 2016: Rennes, France.

- Emeana E. M., Trenchard L., and Dehnen-Schmutz K. (2020), The Revolution of Mobile Phone-Enabled Services for Agricultural Development (m-Agri Services) in Africa: The Challenges for Sustainability, 8 January 2020.

- Galtier, F., David-Benz, H., Subervie, J., & Egg, J. (2014). Agricultural market information systems in developing countries: new models, new impacts. Cahiers Agricultures, 232-244.

- Global AI in Agriculture Market Research Report 2020-2030 (2020), November 2020, Research and Markets

- Goyal A., Information, Direct Access to Farmers, and Rural Market Performance in Central India July 2010

- Kashima T., Matsumoto S., Iseda H., Ishii H. (2012) A Proposal of Farmers Information System for Urban Markets. In: Watada J., Watanabe T., Phillips-Wren G., Howlett R., Jain L. (eds) Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 15. Springer, Berlin, Heidelberg.

- Khizer S. (2017), A Study on Development of Online Marketing Information System for Agricultural Sector of KSA, International Journal of Engineering and Computer Science, Volume 6 Issue 6 June 2017, Page No. 21703-21707.

- Kruize, J.W.; Wolfert, J.; Scholten, H.; Verdouw, C.N.; Kassahun, A.; Beulens, A.J.M. (2016). A reference architecture for Farm Software Ecosystems. Computers and Electronics in Agriculture, 125(), 12–28. doi:10.1016/j.compag.2016.04.011

- Magesa M. M., Michael K., and Ko J. (2010), Agricultural Market Information Services in Developing Countries: A Review, ACSIJ Advances in Computer Science: an International Journal, Vol. 3, Issue 3, No.9, May 2014.

- Mukhebi, A. & Kundu, J. (2014). Linking farmers to markets in Kenya: The evolving KACE model. Cahiers Agricultures, 23: 282-7. Available at: http://www.cahiersagricultures.fr/articles/cagri/pdf/2014/04/cagri2014234-5p282.pdf

- Muto, M. & Yamano T. (2009), The Impact of Mobile Phone Coverage Expansion on Market Participation: Panel Data Evidence from Uganda. World Development, 37: 1887-1896.

- Available at: http://www.sciencedirect.com/science/article/pii/S0305750X09000965

- Nwafor C. U. ,Ogundeji A. A., and Westhuizen C. (2020), Adoption of ICT-Based Information Sources and Market Participation among Smallholder Livestock Farmers in South Africa, Agriculture 2020, 10(2), 44; https://doi.org/10.3390/agriculture10020044

- Roslin N. A., Che’Ya l. N., Ismail M. R. (2020), Development of an Android Application for Smart Farming in Crop Management, August 2020, IOP Conference Series Earth and Environmental Science 540:012074 DOI: 10.1088/1755-1315/540/1/012074

- Rubio S.- V. and Rovira-M. F. (2020), From Smart Farming towards Agriculture 5.0:A Review on Crop Data Management, Agronomy 2020, 10, 207; doi:10.3390/agronomy10020207

- Shepherd A.W. (2011). Understanding and Using Market Information. Marketing Extension Guide No. 2 (updated version originally published in 2000). FAO Publication: Rome.

- Sorensen C.G.; Fountas S.; NashE.; PesonenL.; BochtisD.; PedersenS.M.; Basso B.; Blackmore S.B. (2010). Conceptual model of a future farm management information system. , 72(1), 37–47. doi:10.1016/j.compag.2010.02.003.

DOI: http://dx.doi.org/10.33977/2106-000-005-002


  • There are currently no refbacks.

Copyright (c) 2022 Palestinian Journal of Technology and Applied Sciences (PJTAS)

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.