A Research on Crop Yield Estimation of Banana in Various Soil and Weather Around North Coimbatore Area using Data Mining Algorithm
Abstract
India is mostly an agriculture based country, agricultures main aim is to develop India's economy and also the main backbone of our country. India holds second place in the farm production. Almost 43percent of geographical land had been occupied by the agriculture sector. But for the past several years the agriculture development is immobile. Eventhough agriculture has many benefits in improved farming techniques the production rate is not equitable. The main reason for this is there is no well formed models about farming and guidance for the farmers are not given properly. Banana tree acts as an major fruit crop of many tropical and subtropical regions of India.it is the earliest and regular fruit known to the humankind. It is one of the important fruits, and establish second largest fruit industry in India. Neglected to these problems, farming affects the yield of banana and absense of knowledge about the banana cultivation methodologies. And also to choose best season to cultivate the banana and selecting the best soil to cultivate the specific banana based on the weather condition and also when to harvest the banana for the supreme yield. If the farmer is familiar about the banana cultivation methodologies and harvesting it will be more helpful for the people in the real world and also helps in increase the banana productivity. Data mining is the process of abstraction or deriving of datas from large amount of data sets, this technology which is in use in inferring knowledge that can be put to use from a vast amount of data. Climate, soil and temperature are the meteorological data that is well-to-do by important knowledge.