scholarly journals Computer Based Tools to Locate and Measure the Disease Infected Area of Rice Leaves

2014 ◽  
Vol 18 (2) ◽  
pp. 209-213
Author(s):  
MM Billah ◽  
MM Bhuiyan ◽  
MA Ashraf

Computer based image processing system has been developed to automatically calculate the damaged area and also to identify the location of disease infected area of rice leaves. The developed image processing system separates the infected regions on leaf by pixel-wise processing. The color intensities associated with image pixels are used as inputs, which are taken by the software and produce the desired output. Experimental results show that the proposed system can produce accurate results in every case whereas conventional eye-estimation technique is not accurate. The amount of damaged area, as identified by proposed software system, can potentially be used in many decision making processes, like determination of the amount of pesticides need to be sprayed in a field. Moreover, an automated machine can be combined with this software to eliminate the requirement of human operators. Also this system may eliminate the requirement of costly Leaf Area Meter.DOI: http://dx.doi.org/10.3329/pa.v18i2.18210 Progress. Agric. 18(2): 209 - 213, 2007 

1995 ◽  
Vol 30 (12) ◽  
pp. 854-862
Author(s):  
Hideaki Sugita ◽  
Takeshi Nakazawa ◽  
Shozo Fukuhara ◽  
Hiromi Komuta

Author(s):  
G.Y. Fan ◽  
J.M. Cowley

In recent developments, the ASU HB5 has been modified so that the timing, positioning, and scanning of the finely focused electron probe can be entirely controlled by a host computer. This made the asynchronized handshake possible between the HB5 STEM and the image processing system which consists of host computer (PDP 11/34), DeAnza image processor (IP 5000) which is interfaced with a low-light level TV camera, array processor (AP 400) and various peripheral devices. This greatly facilitates the pattern recognition technique initiated by Monosmith and Cowley. Software called NANHB5 is under development which, instead of employing a set of photo-diodes to detect strong spots on a TV screen, uses various software techniques including on-line fast Fourier transform (FFT) to recognize patterns of greater complexity, taking advantage of the sophistication of our image processing system and the flexibility of computer software.


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