publication . Part of book or chapter of book . Other literature type . Preprint . 2018

Personal Food Computer: A New Device for Controlled-Environment Agriculture

Ferrer, Eduardo Castelló; Rye, Jake; Brander, Gordon; Savas, Tim; Chambers, Douglas; England, Hildreth; Harper, Caleb;
Open Access
  • Published: 20 Oct 2018
  • Publisher: Springer International Publishing
Abstract
Due to their interdisciplinary nature, devices for controlled-environment agriculture have the possibility to turn into ideal tools not only to conduct research on plant phenology but also to create curricula in a wide range of disciplines. Controlled-environment devices are increasing their functionalities as well as improving their accessibility. Traditionally, building one of these devices from scratch implies knowledge in fields such as mechanical engineering, digital electronics, programming, and energy management. However, the requirements of an effective controlled environment device for personal use brings new constraints and challenges. This paper prese...
Subjects
free text keywords: Computer Science - Robotics, Computer Science - Emerging Technologies, Computer Science - Systems and Control
Related Organizations

[1] “The state of food and agriculture: Climate change agriculture and food security,” Food and Agriculture Organization of the United Nations (FAO), Rome, Tech. Rep., 2016.

[2] K. Lee, “Turning plants into drug factories,” Scientific American, feb 2016.

[3] J. L. Fox, “Turning plants into protein factories,” Nature Biotechnology, vol. 24, no. 10, pp. 1191-1193, Oct. 2006.

[4] G. G. Olinger, J. Pettitt, D. Kim, C. Working, O. Bohorov, B. Bratcher, E. Hiatt, S. D. Hume, A. K. Johnson, J. Morton, M. Pauly, K. J. Whaley, C. M. Lear, J. E. Biggins, C. Scully, L. Hensley, and L. Zeitlin, “Delayed treatment of Ebola virus infection with plant-derived monoclonal antibodies provides protection in rhesus macaques,” Proceedings of the National Academy of Sciences of the United States of America, vol. 109, no. 44, pp. 18 030-18 035, oct 2012.

[5] R. T. Furbank and M. Tester, “Phenomics - technologies to relieve the phenotyping bottleneck,” Trends in Plant Science, vol. 16, no. 12, pp. 635 - 644, 2011. [OpenAIRE]

[6] C. Harper and M. Siller, “OpenAG: A Globally Distributed Network of Food Computing,” IEEE Pervasive Computing, vol. 14, no. 4, pp. 24-27, 2015.

[7] A. Abdullah, S. A. Enazi, and I. Damaj, “Agrisys: A smart and ubiquitous controlled-environment agriculture system,” pp. 1-6, March 2016.

[8] L. Zhou, N. Chen, Z. Chen, and C. Xing, “ROSCC: An Efficient Remote Sensing Observation-Sharing Method Based on Cloud Computing for Soil Moisture Mapping in Precision Agriculture,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. PP, no. 99, pp. 1-11, 2016.

[9] M. Quigley, K. Conley, B. P. Gerkey, J. Faust, T. Foote, J. Leibs, R. Wheeler, and A. Y. Ng, “ROS: an open-source Robot Operating System,” in ICRA Workshop on Open Source Software, 2009.

[10] J. Rogoff, “Food Computers in the Classroom,” Cambridge College, Tech. Rep., 2016.

Abstract
Due to their interdisciplinary nature, devices for controlled-environment agriculture have the possibility to turn into ideal tools not only to conduct research on plant phenology but also to create curricula in a wide range of disciplines. Controlled-environment devices are increasing their functionalities as well as improving their accessibility. Traditionally, building one of these devices from scratch implies knowledge in fields such as mechanical engineering, digital electronics, programming, and energy management. However, the requirements of an effective controlled environment device for personal use brings new constraints and challenges. This paper prese...
Subjects
free text keywords: Computer Science - Robotics, Computer Science - Emerging Technologies, Computer Science - Systems and Control
Related Organizations

[1] “The state of food and agriculture: Climate change agriculture and food security,” Food and Agriculture Organization of the United Nations (FAO), Rome, Tech. Rep., 2016.

[2] K. Lee, “Turning plants into drug factories,” Scientific American, feb 2016.

[3] J. L. Fox, “Turning plants into protein factories,” Nature Biotechnology, vol. 24, no. 10, pp. 1191-1193, Oct. 2006.

[4] G. G. Olinger, J. Pettitt, D. Kim, C. Working, O. Bohorov, B. Bratcher, E. Hiatt, S. D. Hume, A. K. Johnson, J. Morton, M. Pauly, K. J. Whaley, C. M. Lear, J. E. Biggins, C. Scully, L. Hensley, and L. Zeitlin, “Delayed treatment of Ebola virus infection with plant-derived monoclonal antibodies provides protection in rhesus macaques,” Proceedings of the National Academy of Sciences of the United States of America, vol. 109, no. 44, pp. 18 030-18 035, oct 2012.

[5] R. T. Furbank and M. Tester, “Phenomics - technologies to relieve the phenotyping bottleneck,” Trends in Plant Science, vol. 16, no. 12, pp. 635 - 644, 2011. [OpenAIRE]

[6] C. Harper and M. Siller, “OpenAG: A Globally Distributed Network of Food Computing,” IEEE Pervasive Computing, vol. 14, no. 4, pp. 24-27, 2015.

[7] A. Abdullah, S. A. Enazi, and I. Damaj, “Agrisys: A smart and ubiquitous controlled-environment agriculture system,” pp. 1-6, March 2016.

[8] L. Zhou, N. Chen, Z. Chen, and C. Xing, “ROSCC: An Efficient Remote Sensing Observation-Sharing Method Based on Cloud Computing for Soil Moisture Mapping in Precision Agriculture,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. PP, no. 99, pp. 1-11, 2016.

[9] M. Quigley, K. Conley, B. P. Gerkey, J. Faust, T. Foote, J. Leibs, R. Wheeler, and A. Y. Ng, “ROS: an open-source Robot Operating System,” in ICRA Workshop on Open Source Software, 2009.

[10] J. Rogoff, “Food Computers in the Classroom,” Cambridge College, Tech. Rep., 2016.

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