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Context-aware agriculture organizer

Published: 20 February 2012 Publication History

Abstract

Ubiquitous computing has become popular and is in demand in many fields of human activity. This kind of computing could significantly enhance applications such as an organizer by making it more agile through sensing the environment. The context-aware agriculture organizer (CAAO), which was pursued by this study, facilitates farmers work by providing relevant contextual information to the users, thus simplifying the selection of plants and resulting to better harvest and more effective resource usage. The idea behind the CAAO is not to control the process of crops growing but rather make it smoother and more productive while simultaneously providing a platform for agricultural research. The study had objectives of creating a technical framework for CAAO with basic functionality and providing ideas for further development. Literature analysis and exploratory software development served as methods of the study. Context-awareness in the CAAO can be achieved by data acquired from sensors, and sensor observation service (SOS) is used for this purpose. The main benefit of SOS is that it connects together different types of sensors. Proposed CAAO framework provides ample of opportunities for further development and makes the system a hub of agricultural services. The mix of web mash-up and ubiquitous computing can enrich the framework and provide an up to date and on demand services. Current version of the CAAO is limited to cotton crop and it does not yet establish physical connection with the sensors. The next steps in the development are to establish connection to sensor networks and to test the CAAO in a real world context.

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Cited By

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  • (2023)Farm to Table: Understanding Collaboration and Information Practices among Stakeholders in the Process of Produce Production, Sales, and ConsumptionProceedings of the ACM on Human-Computer Interaction10.1145/35794867:CSCW1(1-29)Online publication date: 16-Apr-2023
  • (2023)Understanding Farmers’ Expectations and Experiences in Using Sensor TechnologiesExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585902(1-4)Online publication date: 19-Apr-2023
  • (2020)A Personal Assistant Supporting Agriculture Operators2020 IEEE 10th International Conference on Intelligent Systems (IS)10.1109/IS48319.2020.9199953(584-589)Online publication date: Aug-2020
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cover image ACM Conferences
ICUIMC '12: Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
February 2012
852 pages
ISBN:9781450311724
DOI:10.1145/2184751
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 20 February 2012

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Author Tags

  1. OSGi
  2. SOA
  3. SOS
  4. agriculture
  5. context-awareness

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Overall Acceptance Rate 251 of 941 submissions, 27%

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View all
  • (2023)Farm to Table: Understanding Collaboration and Information Practices among Stakeholders in the Process of Produce Production, Sales, and ConsumptionProceedings of the ACM on Human-Computer Interaction10.1145/35794867:CSCW1(1-29)Online publication date: 16-Apr-2023
  • (2023)Understanding Farmers’ Expectations and Experiences in Using Sensor TechnologiesExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585902(1-4)Online publication date: 19-Apr-2023
  • (2020)A Personal Assistant Supporting Agriculture Operators2020 IEEE 10th International Conference on Intelligent Systems (IS)10.1109/IS48319.2020.9199953(584-589)Online publication date: Aug-2020
  • (2020)Reference architecture design for farm management information systems: a multi-case study approachPrecision Agriculture10.1007/s11119-020-09728-022:1(22-50)Online publication date: 1-Jun-2020
  • (2019)Obstacles and features of Farm Management Information SystemsComputers and Electronics in Agriculture10.1016/j.compag.2018.12.044157:C(189-204)Online publication date: 1-Feb-2019
  • (2014)Integrated sensing of soil moisture at the field-scaleComputers and Electronics in Agriculture10.1016/j.compag.2014.02.011107(73-88)Online publication date: 1-Sep-2014

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