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Data Mining of Paddy Cultivation Patterns And Water Resource Management In Late Samba Season of Tamilnadu

机译:塔米尔纳德后期桑巴德季节水稻栽培模式和水资源管理的数据挖掘

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The Earth is borne to influence its water contents mostly of its Biosphere, the living organisms, habitat, birds, men, and lives due to fluctuating parameters of Earth, and it has 71 % water and 29 % land. When the Sunlight shineup, the water available from the surface of Oceans, Rivers, and ponds get transformed to vapor and goes up to Space in the form of clouds. The clouds are called Cumulonimbus, Nimbus, Cirrus, etc. On this Earth, among the countries of the Asian continent, India has the largest population for its credibility. Agriculture is the main backbone of India, and especially the state of Tamilnadu is the second largest food producer of India. Amount various paddy cultivable seasons, and Late Samba is most vulnerable for its yield towards food production. As yield is the main target of farmers, this paper addresses exhuming hidden paddy cultivable patterns, which optimizes the season scenario.
机译:由于地球的波动,地球主要是影响其生物圈,生物体,栖息地,鸟类,男性和寿命的水含量,它有71%的水和29%的土地。 当阳光闪耀时,从海洋,河流和池塘的表面获得的水变换为蒸汽,并以云的形式达到空间。 云名被称为Cumulonimbus,尼布斯,卷心等在这个地球上,在亚洲大陆的国家,印度拥有最大的信誉人口。 农业是印度的主要骨干,尤其是塔米尔纳德国家是印度第二大食品生产国。 数额各种各样的水稻可耕种季节,桑巴后期最容易受到粮食生产的产量。 随着产量是农民的主要目标,本文涉及挖掘隐藏的稻谷可耕种模式,优化了季节情景。

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