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The fall-detection systems are used to create a reliable surveillance system for elderly people. In this paper an enhanced fall detection system with higher accuracy, sensitivity and specificity is proposed for elderly person monitoring. It is based on smart sensors that are worn on the body and operating through consumer home networks. With treble thresholds, accidental falls can be detected in the...
Leaf diseases on cotton plant must be identified early and accurately as it can prove detrimental to the yield. The proposed work presents a pattern recognition system for identification and classification of three cotton leaf diseases i.e. Bacterial Blight, Myrothecium and Alternaria. The images required for this work are captured from the fields at Central Institute of Cotton Research Nagpur, and...
The objective of this work was to develop and to evaluate adaptive neuro-fuzzy inference system as methodology to identify the leaf diseases on cotton. This paper presents automatic system for classification of three cotton leaf diseases namely Bacterial Blight, Myrothecium and Alternaria. Graph cut method is used for segmentation of images to extract color layout descriptors as features to train...
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