Implementing CST InMetathinking Layer Of CSIA In Agricultural Isses For Higher Level OF Intelligence

dc.contributor.authorN., Srineja
dc.contributor.authorPavitra, .N
dc.contributor.authorSushma, D S
dc.contributor.authorVishwitha, N
dc.date.accessioned2016-07-22T09:03:31Z
dc.date.available2016-07-22T09:03:31Z
dc.date.issued2016-07-22T09:03:31Z
dc.description.abstractThe idea of applying robotics technology in agriculture is very new. In agriculture, the opportunities for robot-enhanced productivity are immense and the robots are appearing on farms in various forms and in increasing numbers. We can expect the robots performing agricultural operations autonomously such as spraying and mechanical weed control, fruit picking, watching the farms day and night for an effective report, allowing farmers to reduce the environmental impact, increase precision and efficiency, and manage individual plants in novel ways. The present project is one among those, which involves improvement in the fruit picking robot. The limitations of existing fruit picking robots were mainly in their inability of distinguishing from the ripped and the unripen fruit. Development of cognitive architecture where the agents at different levels exhibit different levels of thinking.Implementing CST in learning layer of CSIA in agricultural issues for higher level of intelligence.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/6340
dc.language.isoenen_US
dc.subjectImplementing CST InMetathinking Layer Of CSIA In Agricultural Isses For Higher Level OF Intelligenceen_US
dc.subjectN. Srinejaen_US
dc.subjectPavitra Nen_US
dc.subjectSushma D Sen_US
dc.subjectVishwitha Nen_US
dc.titleImplementing CST InMetathinking Layer Of CSIA In Agricultural Isses For Higher Level OF Intelligenceen_US
dc.typeOtheren_US
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