| With development of modern high-tech agriculture, as an important high-tech area of high-tech agriculture, facilities agriculture is getting more attention. Facilities agriculture includes facilities horticulture and facilities aquaculture. Vegetable farming is very important which is related to people's daily lives. As one of the most common Vegetable, Tomatoes play an important role in peoples'everyday life. Therefore, it is necessary to study on the growth vigor and acquire the biological information basing on spectroscopy.The research was conducted in National Laboratory of Precision Agriculture in China Agricultural University. In the past research, the spectrum analysis of cucumber growth condition has been done. Researchers got high correlation coefficient between the cucumber growth condition and spectroscopy. Based on spectral analysis technology, a new version of crop growth condition detector was developed, which is used to predict chlorophyll content of tomato leaf in the greenhouse. Two wavebands, 527 nm and 762 nm, were selected as characteristic wavelength used in the instrument. The instrument is consisted of a Y-type optic fiber, two silicon photocells, a signal processing unit and CPU. It has a friendly human-machine interface. According to the measured spectral reflectance, spectral spectrum coefficient of tomato leaf can be calculated. The spectral coefficient is used to predict chlorophyll content of tomato leaf in greenhouse. STM32F103RBT6, based on ARM Cortex-M3 kernel, was selected as the main processor of instrument to carry on digital converter, data processing, storage and so on. In addition, users have an option in saving data, into a USB flash diskstick or SD card. There are two kinds of communications: USB communication and serial port communication. The performance test shows that the instrument achieved good result.The instrument has a high accuracy in predicting th growth condition and has a high application value. |
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