Segmentation Based Image Mining Algorithms for Productivity of E-Cultivation

Dr. Hari Ramakrishna, Professor, Department of CSE, CBIT,Hyderabad, INDIA, A. Kalyani, M. Kavitha, Students of Department of CSE, CBIT, Hyderabad, INDIA, Students of Department of CSE, CBIT, Hyderabad, INDIA
2013 CVR Journal of Science & Technology  
Image Mining techniques are suggested for agriculture for crop quality-evaluation and defect identification. A review of some of the important segmentation based algorithms and recent trends in image processing techniques which are applicable to crop quality evaluation and defect identification is presented. Image segmentation techniques are used for the detection of diseases. This demonstrates the use of the Agriculture information system, E-Cultivation process for increasing the productivity.
more » ... Sample Results of some of the image segmentation algorithms used for crop disease identification and productivity measurement in E-Cultivation which are obtained using math lab are presented.
doi:10.32377/cvrjst0401 fatcat:yc67wdkc3vcofk56anz2ku4sia