Credit decision tool using mobile application data for microfinance in agriculture

Naomi Simumba, Suguru Okami, Naohiko Kohtake

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Smallholder agriculture is vital for food security and poverty reduction. Poor, unbanked smallholder farmers face challenges in obtaining loans for agriculture due to missing financial credit history. Although credit decisions tools with alternatives such as big data from mobile phones currently exist, these are mainly targeted towards consumer credit solutions. There is need for research focused on applying such data to credit decisions in agriculture, considering the unique challenges of the field. This research proposes a credit decision tool using alternative data from a mobile phone application used for reporting agricultural activities. 213 users submitted 41613 reports of farm activity by 11336 farmers over a 5-year period. Users were classified groups based on personal information, association with farmers, and reports. Three methods are applied for analysis: multiple logistic regression, a support vector machine with a linear kernel, and a support vector machine with a radial basis function kernel. Three sets of features, selected with different methods, are used. The results are evaluated by accuracy, and Area Under the Receiver operating curve (AUC). The support vector machine with a radial basis function kernel shows the best performance on the original data set with an Area Under the Receiver operating curve (AUC) value of 0.983. Feasibility of applying each method in agricultural microfinance is considered. Finally, further development of the models using Geographic Information System analysis of geospatial data which affects agricultural productivity, such as soil type and water resources, is suggested to incorporate the ability of the borrower to repay loans from farm activity.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE International Conference on Big Data, Big Data 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4714-4721
Number of pages8
Volume2018-January
ISBN (Electronic)9781538627143
DOIs
Publication statusPublished - 2018 Jan 12
Event5th IEEE International Conference on Big Data, Big Data 2017 - Boston, United States
Duration: 2017 Dec 112017 Dec 14

Other

Other5th IEEE International Conference on Big Data, Big Data 2017
CountryUnited States
CityBoston
Period17/12/1117/12/14

Fingerprint

Mobile Applications
Agriculture
Support vector machines
Mobile phones
Farms
Support Vector Machine
Mobile Phone
kernel
Radial Functions
Basis Functions
Water resources
Receiver
Geographic information systems
Logistics
Productivity
Systems analysis
Poverty
Curve
Association reactions
Geographic Information Systems

Keywords

  • agriculture
  • decision support systems
  • microfinance
  • mobile application
  • support vector machines

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems
  • Information Systems and Management
  • Control and Optimization

Cite this

Simumba, N., Okami, S., & Kohtake, N. (2018). Credit decision tool using mobile application data for microfinance in agriculture. In Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017 (Vol. 2018-January, pp. 4714-4721). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BigData.2017.8258519

Credit decision tool using mobile application data for microfinance in agriculture. / Simumba, Naomi; Okami, Suguru; Kohtake, Naohiko.

Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 4714-4721.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Simumba, N, Okami, S & Kohtake, N 2018, Credit decision tool using mobile application data for microfinance in agriculture. in Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 4714-4721, 5th IEEE International Conference on Big Data, Big Data 2017, Boston, United States, 17/12/11. https://doi.org/10.1109/BigData.2017.8258519
Simumba N, Okami S, Kohtake N. Credit decision tool using mobile application data for microfinance in agriculture. In Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 4714-4721 https://doi.org/10.1109/BigData.2017.8258519
Simumba, Naomi ; Okami, Suguru ; Kohtake, Naohiko. / Credit decision tool using mobile application data for microfinance in agriculture. Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 4714-4721
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