Title :
Mobile Mixed Reality Based Damage Level Estimation of Diseased Plant Leaf
Author :
Prasad, Santasriya ; Peddoju, Sateesh K. ; Ghosh, Debashis
Author_Institution :
Comput. Sci. & Eng., Indian Inst. of Technol., Roorkee, Roorkee, India
Abstract :
This paper presents a new dimension for effective cultivation using Mobile Devices (MD) in this ubiquitous digital world. Novel low cost entropy based key frame selection from online mobile-see-through streaming algorithm is proposed. MD is used to monitor the plant leaf disease with much out user interaction and grades them based on the damage level. The mobile mixed reality algorithms are designed to meet mobile limitations of low computation devices such as Smartphones and tables. The system provides interactive powerful mobile interface in farmer´s pocket to monitor and control the disease attacked on plant leaves. It is easily deployed and used by anyone-anywhere-anytime. The information is augmented on user´s screen in realistic time. The proposed system is deployed on Android based mobile for the experiments. The performance evaluation of the proposed system is measured in terms of its response time and found to be acceptable.
Keywords :
agriculture; entropy; estimation theory; feature selection; image recognition; image segmentation; mobile computing; plant diseases; MD; damage level estimation; diseased plant leaf; entropy based key frame selection; image segmentation; mobile devices; mobile mixed reality algorithms; plant recognition; ubiquitous digital world; Diseases; Entropy; Image color analysis; Image resolution; Image segmentation; Mathematical model; Mobile communication; Angular Transformation (AT); Mobile Computing (MC); Mobile Vision (MV); Plant Disease Segmentation; Unsupervised Segmentation;
Conference_Titel :
Next Generation Mobile Apps, Services and Technologies (NGMAST), 2014 Eighth International Conference on
Conference_Location :
Oxford
Print_ISBN :
978-1-4799-5072-0
DOI :
10.1109/NGMAST.2014.56
