Intelligent flower irrigation system and planting flower identification method thereof
An irrigation system and flower technology, applied in the fields of botanical equipment and methods, horticulture, cultivation, etc., can solve the problems of unable to realize intelligent irrigation, difficult to control the amount of watering, rotten roots of flowers, etc., and achieve high recognition rate, good segmentation results, The effect of reducing the waste of water resources
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Embodiment 1
[0032] Such as Figure 1~4 As shown, a kind of intelligent flower irrigation system comprises a power supply module 9, a main control module 6, a planting environment data acquisition module 3, a plant category identification module 10 and an automatic watering module 13, and each module is connected with the main control module 6 Connected, the plant category identification module 10 is used to collect the flower state pictures of planting and feeds back the data to the main control module 6, and compares and judges the flower varieties of planting by the internal storage database of the main control module 6 and automatically sets Determine the growth habits and / or irrigation methods required for planting flowers, the planting environment data collection module 3 is used to collect the growth environment and / or irrigation methods for planting and feed back the collected data to the main control module 6 Compare with the material environment requirement data of setting, to ju...
Embodiment 2
[0041] Propose a kind of identification method of planting flowers on the basis of embodiment one, its specific steps are as follows:
[0042] Step 1: Separate the planted flower area from the background image to reduce background interference;
[0043] Step 2: collect plant pictures planted by the plant category recognition module 10 and transmit them to the object recognition module 18, and the object recognition module 18 extracts flower image features based on the saliency detection GrabCut segmentation algorithm;
[0044] Step 3: Extract flower image features including color features and shape features, and enhance and compress the image during processing to extract its texture features, and then use the SVM kernel classifier to fuse a variety of underlying visual feature information for comprehensive feature-based Identification and classification of natural flower species to obtain accurate species identification;
[0045] The underlying features used in the flower ima...
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