Santanu Phadikar

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The techniques of machine vision are extensively applied to agricultural science, and it has great perspective especially in the plant protection field, which ultimately leads to crops management. The paper describes a software prototype system for rice disease detection based on the infected images of various rice plants. Images of the infected rice plants(More)
Accurately identifying the word endpoints is an important step of speech recognition process. This paper proposes a robust word endpoints detection algorithm of continuous speech signal collected from real world environment. In this process energy feature is used along with zero crossing rate feature to locate the endpoints of word in speech signal. A set(More)
Eliminating Shadows from the acquired images is an important preprocessing task for image analysis. In the work a novel shadow removal technique has been developed to eliminate shadows from the images acquired from the rice fields. Since the images are from the agricultural field, to remove shadow, vegetative indices, Normalized Difference Greenness Index(More)
In VANET the first and foremost requirement for a vehicle is that it should have the freedom to move around from one network region covered by a particular access point to another. Since the vehicle can move around in the system but the Infrastructure is immobile, it becomes mandatory to perform a handover procedure from the previous access point to another(More)
Automatic identification of plant diseases is the new challenging area for the researchers. One of the most important steps in automatic identification of plant diseases is to extract the infected region from the normal portion of the plant. Studding the infected leaves it has been observed that the greenness of the infected portion of the leaves changes(More)
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