Abstract
In the last decades, the agricultural sector development has been oriented to the optimization in planting spaces, seeking to reduce resources and the procurement of the best products with low levels of fertilizers, insecticides, and fungicides, among others. One example of farming are greenhouse hydro-ponic systems, which optimize resources for obtaining a higher density of sowing and the highest performance per unit area is the strawberry cultivation. For the harvest process, the farmers use of the qualitative observation for classifying the strawberry, using that selection process take considerable time that can be optimized. Due to the aforementioned problems, the aim of this project is to develop a strawberries collecting robot prototype in greenhouse hydroponic systems, using artificial vision for identifying the state of ripeness based on reddish tonality of strawberries.
| Original language | English (US) |
|---|---|
| Title of host publication | Symposium of Signals, Images and Artificial Vision - 2013, STSIVA 2013 |
| DOIs | |
| State | Published - 2013 |
| Externally published | Yes |
| Event | 2013 18th Symposium of Image, Signal Processing, and Artificial Vision, STSIVA 2013 - Bogota, Colombia Duration: Sep 11 2013 → Sep 13 2013 |
Publication series
| Name | Symposium of Signals, Images and Artificial Vision - 2013, STSIVA 2013 |
|---|
Conference
| Conference | 2013 18th Symposium of Image, Signal Processing, and Artificial Vision, STSIVA 2013 |
|---|---|
| Country/Territory | Colombia |
| City | Bogota |
| Period | 9/11/13 → 9/13/13 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 1 No Poverty
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Vision and Pattern Recognition
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