Plant leaf Damage Detection using Segmentation
Sai Reddy. B1, S. Neeraja2, Kiran Kumar Vemula3

1Sai Reddy. B, Assistant Professor, Department of ECE, Sreenidhi Institute of Science and Technology, Hyderabad (Telangana), India.

2S. Neeraja, Assistant Professor, Department of Electrical Electronics and Communications Engineering, GITAM Deemed to be University, Visakhapatnam (Andhra Pradesh), India.

3Kiran Kumar Vemula, Associate Professor, Department of ECE, Malla Reddy College of Engineering and Technology, Hyderabad (Telangana), India.

Manuscript received on 23 November 2019 | Revised Manuscript received on 11 December 2019 | Manuscript Published on 30 December 2019 | PP: 238-243 | Volume-9 Issue-2S3 December 2019 | Retrieval Number: B10601292S319/2019©BEIESP | DOI: 10.35940/ijitee.B1060.1292S319

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Abstract: A primary source of livelihood is agriculture. In developing country like India, wide-ranging employment opportunities are provided by Agriculture for the villagers. Various crops are included in the agricultural system of India and 70% of the population depends upon agriculture as reported by survey. Because of lagging in technical knowledge, manual cultivation is adopted by majority of the Indian farmers. The kind of crops that grows well on their land is unaware by the farmers. The agriculture production is affected by the heterogeneous diseases that affect the plant leaves and result in the productive loss. Moreover, the quality as well as quantity of the agricultural production is reduced by it. A key role is played by the leaves in the rapid growth of the plants and production of crops. The identification of diseases related to plant leaf is a difficult task for the farmers and for the researchers. At present, various pesticides were sprayed on the plants that directly or indirectly affect the human health and the economy. Various methods must be adopted for detecting these kinds of plant diseases. This paper presents a review of various plant diseases and several advanced technologies in detecting the diseases.

Keywords: Plant Leaf Damage, Superpixel, Segmentation, Active Contour.
Scope of the Article: Plant Cyber Security