Vaishnavi S | SRI ESHWAR COLLEGE OF ENGINEERING (original) (raw)
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As a coastal state, Tamil Nadu faces uncertainty in agriculture which decreases its production. W... more As a coastal state, Tamil Nadu faces uncertainty in agriculture which decreases its production. With more population and area, more productivity should be achieved but it cannot be reached. Farmers have oral experience in past decades but now it cannot be used due to climatic factors. These experiences can be made as data and can be stored in database. Peak improvement in Information technology field should be used in Agriculture Sciences to help farmers with good agriculture. Intelligence of applying modern technological methods in the field of agriculture is desirable in this current scenario. Statistical methodologies and techniques are used extract hidden information from a large knowledge base. Agricultural issues like crop prediction, rotation, water requirement, fertilizer requirement and protection can be solved. Due to the variable climatic factors of the environment, there is a necessity to have a well defined and efficient technique to facilitate the crop cultivation and to lend a hand to the farmers in their production and management. This may help upcoming agriculturalists to have a better agriculture. To implement such an approach, Data mining is used as efficient method. Data mining aims to extract useful patterns from the agricultural data sets. A system of recommendations can be provided to a farmer to help them in crop cultivation with the help of data mining. Data mining techniques paves way to evolve useful extraction from agricultural database.
As a coastal state, Tamil Nadu faces uncertainty in agriculture which decreases its production. W... more As a coastal state, Tamil Nadu faces uncertainty in agriculture which decreases its production. With more population and area, more productivity should be achieved but it cannot be reached. Farmers have oral experience in past decades but now it cannot be used due to climatic factors. These experiences can be made as data and can be stored in database. Peak improvement in Information technology field should be used in Agriculture Sciences to help farmers with good agriculture. Intelligence of applying modern technological methods in the field of agriculture is desirable in this current scenario. Statistical methodologies and techniques are used extract hidden information from a large knowledge base. Agricultural issues like crop prediction, rotation, water requirement, fertilizer requirement and protection can be solved. Due to the variable climatic factors of the environment, there is a necessity to have a well defined and efficient technique to facilitate the crop cultivation and to lend a hand to the farmers in their production and management. This may help upcoming agriculturalists to have a better agriculture. To implement such an approach, Data mining is used as efficient method. Data mining aims to extract useful patterns from the agricultural data sets. A system of recommendations can be provided to a farmer to help them in crop cultivation with the help of data mining. Data mining techniques paves way to evolve useful extraction from agricultural database.