Automated color prediction of paddy crop leaf using image processing

Amandeep Singh, M. Singh
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引用次数: 26

Abstract

In India a majority of the population in rural areas is working in the agriculture field for their livelihood. They not only have to struggle for the better yield against the natural disasters but also have to tackle the losses of the net output because of land fertilization specifications and unskilled labour too. In the event of inadequate utilities and resources, in the face of unpredictable crises, their gain opportunities and livelihood are proportionally and adversely affected. However in this era of technology, the scenario may get changed as the Information and Communication and related fields of technology are providing a great for such type of crisis handling. Here in this paper, the method which may be used to compare the crop leaf color with the leaf color chart (LCC), has been proposed for getting a detail about the requirement of plant, before enough to get the yield affected. By making use of image processing technology a simple and robust method for the color prediction of paddy crop plant has been discussed along with the mathematical modelling which may provide a great platform to the advisory bodies in the agriculture field for the atomization of the crop health problems and solutions.
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基于图像处理的水稻田叶片颜色自动预测
在印度,农村地区的大多数人口都在农业领域工作以维持生计。他们不仅要在自然灾害中争取更好的产量,而且还要解决由于土地施肥规格和不熟练劳动力造成的净产量损失。在公用事业和资源不足的情况下,面对不可预测的危机,他们的收入、机会和生计都会受到相应的不利影响。然而,在这个技术时代,这种情况可能会发生变化,因为信息通信和相关技术领域为这种危机处理提供了很大的便利。本文提出了一种将作物叶片颜色与叶片颜色图(LCC)进行对比的方法,在充分了解作物对叶片颜色的需求之前,就可以了解其对产量的影响。利用图像处理技术,探讨了一种简单、鲁棒的水稻作物颜色预测方法,并结合数学模型,为农业领域的咨询机构对作物健康问题的雾化和解决提供了一个很好的平台。
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