Backtracking Algorithm for Virtual Cluster Migration in Cloud Computing

Weeds are the problematic unwanted plants in the fields that causes, 33.16% yield loss in food crops, 41.26% in cereals, 31.88% in pulses, 40.82% in oilseeds, 34.23% in fiber crops, and 40.28% in rice crops. The Proposed System helps to optimization the work to yield in rice crop by removing weed that grows along crop, focusing on these issue is important as to yield the crops only with rice crop. This study focus on the issue in rice crop plant which grows along with weed (unwanted plant).New methodology introduced to remove the weed plant that grows with crop by the means of robotics. The image will be captured through drone in the field and the same frame co-ordinate forwarded to robotic designed with agriculture drone sensor which is coded using python to predict the accurate weed plant for statistical prediction. The robot locate the plant after comparing with the captured co-ordinates of drone with its own captured image and decide to pluck the weed plant grown along with crop

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Backtracking Algorithm for Virtual Cluster Migration in Cloud Computing

Cited by 3 publications

References 8 publications

A Comparison of Backtracking Algorithm in Time-Shared and Space-Shared VM Allocation Approaches Using CloudSim

A Comparison of Backtracking Algorithm in Time-Shared and Space-Shared VM Allocation Approaches Using CloudSim

Improved Searchable Encryption via Conglomerate Keys in Federated Cloud Storage

Deep Learning in Robotics to Remove Ward of Weeds

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