The Study on Control for Water Fertilizer Integrated Machine Based on Python Double Filter

In order to satisfy fertilizer and water demand in different growth periods, based on python double filter for image processing, and environmental factor monitoring, this self-adaption water fertilizer control system was achieved. This system consisted of nitrogen content control and irrigation quantity control. In the nitrogen content control, fristly the plant image was taken by CCD camera, and the plant height was calculated by python double filter, secondly the curve between plant height in different growth periods and nitrogen content with the tallest plant. The nitrogen content absorbed by plant was calculated by chroma analysis. In the end, the D-value between optimal nitrogen content and nitrogen content absorbed by plant was adjusted. The model between irrigation time and Temperature, humidity, light intensity was achieved. The plant height system was tested, the error ranged from 3.9%-5.6%. To test this system, the result showed that this system could decreaed the nitrogen application, improve the tomato plant height.