International Journal of Computer
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Volume 1 | Issue 2 | Year 2011 | Article Id. IJCTT-V1I2P06 | DOI : https://doi.org/10.14445/22312803/IJCTT-V1I2P06

A Step towards Precision Farming of Rice Crop by Estimating Loss Caused by Leaf Blast Disease Using Digital Image Processing and Fuzzy Clustering.

Toran Verma, Susanta Kumar Satpathy, Lokesh Kumar Sharma

Citation :

Toran Verma, Susanta Kumar Satpathy, Lokesh Kumar Sharma, "A Step towards Precision Farming of Rice Crop by Estimating Loss Caused by Leaf Blast Disease Using Digital Image Processing and Fuzzy Clustering.," International Journal of Computer Trends and Technology (IJCTT), vol. 1, no. 2, pp. 152-157, 2011. Crossref, https://doi.org/10.14445/22312803/IJCTT-V1I2P06

Abstract

Precision Farming (PF) is generally defined as an information and technology based farm management system to identify, analyze and manage variability within fields for optimum profitabil ity, sustainability and protection of the land resource. In this mode of farming, new information technologies can be used to make better decision about many aspects of crop production. Timely estimation and diagnosis of crop diseases in fields is very cri tical for the production of the crop. Blast is the most important fungal disease of rice and occurs in all rice - growing regions. In this paper, we describe the application of Fuzzy C - Mean Clustering algorithm to estimate the loss caused by blast disease i n rice crop. A digital image has been taken by digital camera of rice crop, which is further analyzed by taking RGB feature of that image and then classified using Fuzzy C - Mean Clustering algorithm. That clustered information can be used for precision farm ing by farmer for decision support system.

Keywords

Precision Farming, Rice blast, fuzzy C - Mean clustering, image processing.

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