2004 Fiscal Year Final Research Report Summary
Environmental control in the total production system using artificial intelligence and image processing technology
| Project/Area Number |
15380173
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Agricultural environmental engineering
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| Research Institution | Ehime University |
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Principal Investigator |
NISHINA Hiroshige Ehime University, Faculty of Agriculture, Professor, 農学部, 教授 (70134509)
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| Co-Investigator(Kenkyū-buntansha) |
MORIMOTO Tetsuo Ehime University, Faculty of Agriculture, Professor, 農学部, 教授 (50127916)
HATOU Kenji Ehime University, Faculty of Agriculture, Associate Professor, 農学部, 助教授 (50274345)
HASHIMOTO Yasushi Ehime University, Professor emeritus, 名誉教授
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| Project Period (FY) |
2003 – 2004
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| Keywords | high brix tomato fruit / projection area / heat stress / neural network / genetic algorithms / image processing / thermal image / wire size reduction |
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| Research Abstract |
The following results were made dear in this research.
(1)Projection area of leaves of tomato plants is effective as an index of irrigation for the production of tomato fruit with high brix in the nutrient solution cultivation system. As for the direction of projection, vertical direction is the best. The accumulated evapotranspiration rate estimated from the solar radiation and water vapor saturation deficit is also an effective index.
(2)As for the process of fruit storage, the temperature operation that first raises to the high temperature(40℃) fir 24h and then drops to the lowest temperature is optimal to reduce the water loss, the change of skin color and the respiration of fruit.
(3)As for the utilization of image processing, the leaf and the fruit of the tomato plant can be distinguished by the difference of surface temperature measured by thermography. The mature fruit and the immature fruit can be distinguished by the color difference measured by CCD camera. To use both the thermal image measured by thermography and the color image measured by CCD camera is effective to find out the fruit bidden by the leaves.
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