AGRICULTURAL INTELLIGENCE DECISION SYSTEM
| dc.contributor.author | SURAJ SHET H | |
| dc.date.accessioned | 2019-06-25T12:26:57Z | |
| dc.date.available | 2019-06-25T12:26:57Z | |
| dc.date.issued | 2019-06-25T12:26:57Z | |
| dc.description.abstract | In the recent years, the huge volume of real time data in the agricultural sector and its need for an efficient and effective processing, stimulate the use of novel technologies and platform to acquire, store, process, analyze and visualize large data sets for future predictions and decision making. Big Data is an evolving term given to a wide area of data-intensive technologies in which the datasets are extremely large that dealing with them become more challenging than how it was. Before, Due to the critical challenges facing the agriculture sector farmers feel more forced to adopt intensive farming practices and sustainable agricultural ones, in order to increase both economic and environmental costs. Bringing data mining technologies into agriculture presents a significant challenge; at the same time, this technology contributes effectively in many countries’ economic and social development. In this work, we will study environmental data provided by precision agriculture information technologies, which represents a crucial source of data in need of being wisely managed and analyzed with appropriate methods and tools in order to extract the meaningful information. i | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/10759 | |
| dc.language.iso | en | en_US |
| dc.subject | 1NH15IS125 | en_US |
| dc.title | AGRICULTURAL INTELLIGENCE DECISION SYSTEM | en_US |
| dc.type | Other | en_US |