Intelligent Irrigation System Establishment And The Application In Tomato Growth

Precision agriculture is based on geographic information, crop growth information and environmental information based on the three links. Geographic information is mainly refers to all the parts of the soil, including moisture content, organic matter, salt, and a variety of nutrient ions etc. Soil moisture content plays an important role during the crop cycle. So, effective monitoring the soil moisture in real time contributes to the growth of crops, improve the utilization rate of fertilizer and to avoid groundwater contamination. Crop growth information during its menstrual cycle can not only intuitive reflects the crops during a time of health, but also can indirectly reflect the soil information and environmental information at this time. So, real-time and non-invasive monitoring of crop growth information is the key to the realization of precision agriculture, Crops in the environmental factors (air temperature, humidity and CO2concentration, light) on crop growth also plays an important role. Because of the traditional monitoring method is confined to the above three factors in one or a two kinds of monitoring, relatively get the amount of information is not complete, so can’t for crop precision irrigation provides a complete set of solutions, sometimes also can cause damage to crops. Therefore developed a high precision, good reliability, strong real-time irrigation system is become the urgent matter. This thesis work is as follows:1. According to China’s agricultural production and implementation of the practical need of precision agriculture, on the basis of the traditional irrigation system, application of computer vision and multi-sensor designs an intelligent irrigation system, to timely access to information of crop growing and soil moisture information and environment information, with the combination of information for reference, implement in real, no damage to crop growth irrigation and precise irrigation water shortage;2. Crop growth information acquisition:using computer vision technology, studied the crop of the image acquisition, segmentation, feature parameter extraction methods, established the growth data model;3. Soil information and the environment parameter acquisition:through the multi-sensor information acquisition, temperature and humidity on the environment parameter acquisition of soil moisture, soil water potential sensor information acquisition, the evaporation of soil moisture evaporation sensor acquisition;4. Intelligent irrigation system based on this, taking tomato as test crop, blossom in tomatoes to third ear was studied during the fruit picking heart, different soil moisture on the growth parameters (plant height, plant, stem diameter, leaf area, leaf Angle, etc.), illustrate the usefulness of this intelligence system;5. Research results show that:the intelligent irrigation system has realized the accurate crop growth information and farmland environmental information, can get crop water requirement of information in a timely manner, and implement timely and precise irrigation, good improved utilization of water resources. System has the advantages of good robustness, flexible extension. Has the very good practicability, can be applied to greenhouse, farmland and nursery crops planting area.