Massachusetts Institute of Technology
Designing user-centered IoT solutions for small-scale and mid-scale farmers
Abstract
dc:description.abstractThe UN predicts that by the year 2030, the global water demand will outstrip supply by 40%. In face of the global water crisis, it is crucial to increase irrigation efficiency in agriculture, which currently consumes 70% of the global freshwater supply. Studies have shown that using precision agricultural technology to control irrigation can reduce water consumption by as much as 20% and increase crop yield by up to 30% in developing countries. Such technologies, however, are inaccessible to millions of small-scale farmers who need them the most because of their prohibitive costs and design intended for large-scale farming businesses. To address this technological gap, social enterprise SoilSense delivers affordable and robust IoT soil sensor systems to small-scale farmers, empowering them to irrigate more efficiently by providing data on when and where to irrigate based on soil measurements. This study analyzes existing literature on irrigation and soil sensor technology and applies a human-centered design approach to understand the needs of an underserved user group: smallscale and medium-scale avocado farmers. By engaging these farmers and subject matter experts in the field, key insights are drawn on the nuances of avocado cultivation, challenges in irrigation and water management, and the use of technology and data analytics in farming. This user research highlights the small-scale and medium-scale farmers' pain points and their vision for how technology could improve their operations. In addition to informing the iterative design of the SoilSense system prototype and business model, this study also endeavors to help address the global water crisis through continuous innovation and advancement in IoT agricultural technology.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Engineering and Management Program
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2018
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Wong, Julia C. (Julia Cheuk-Yi)
- Advisor dc:contributor.advisor
-
- Maria Yang.
Subjects
dc:subject × 2Rights
dc:rights- Statement dc:rights
-
- MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/118490
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/118490