Teknik Pengolahan Citra Digital Untuk Pendugaan Kadar Air Tanah Lahan Kering Dengan Penangkap Citra Infrared Webcam

摘要

Moisture content is one of important soil characteristics in agricultural systems and isoften needed to determine other soil characteristics. Gravimetric method is widely used tomeasure soil moisture content. Although the result is quite accurate, however it is very timeconsuming. In this research, soil moisture content of arid field has been analyzed by imageprocessing method using webcam and infrared webcam as the image-captured devices. Thisresearch aimed to estimate soil moisture content from images captured by webcam and infraredwebcam and to define the most appropriate visual properties as the soil moisture contentprediction parameter. Soil samples used in this research was from arid field of Gunung TugelVillage Banyumas Regency. Thirty samples of arid field soils were collected using soil ringsamplers in 5 cm of soil depth. All samples were wetted until they reached a saturatedcondition. After that, the samples were stored for 30 days under room temperature conditionuntil the soils became dry. Everyday the weight of each soil was measured and the images werecaptured by using webcam and infrared webcam. The images were then extracted by usingimage processing to obtain visual parameters such as RGB index as well as HSI colour andtexture feature. Each of the visual parameters was then determined its correlation with soilmoisture content and the R2 of the correlations. The final step of the analysis was calculatingthe mean percentage error (MPE) of the moisture content estimation. A visual parameter whichhas the least MPE would be used as the prediction parameter. The results of this researchshowed that soil moisture content of arid field could be predicted by using visual parametersfrom images captured by webcam and infrared webcam. Intensity of the soil images captured byinfrared webcam resulted prediction error lower than that by webcam.