An Estimation of Crop Leaf Area Index Using Image Processing and GSM Technology
P. P .V. Sudheer, R. Tejas and M. R. Ebenezar JebaraniDepartment of E.C.E, Sathyabama University, Chennai, India.
Abstract: In the present scenario, various scientific methodologies and advanced procedures are undergoing significant development to achieve an increase in crop yield and productivity,thereby reducing manual labour. Certain techniques involve the analysis and measurement ofbiological factors such as Tidal Volume, Germination and Survival Percentage, Plant height etc. This project proposes to measure the Leaf Area Index for estimating the plant growth and to provide an analysis of the plant quality to check if the plant is in a good condition or not. Direct and manual measurements of LAI prove to be time-sensitive and laborious. The use of sophisticated instruments such as LAInet and MODIS proveexpensive[7] . To overcome these limiting factors, a simple, cost effective real time hardware system has been designed. Image processing techniques like image segmentation, binarization, morphology and pixel statistics are used to identify the occurrence of diseases .Information obtained is transmitted to the land owner’s mobile through GSM module.
Keywords: Leaf Area Index; Pixel; RGB colour model; Calibration Factor Back to TOC