Mobile Mixed Reality Based Damage Level Estimation of Diseased Plant Leaf

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.

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