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An Innovative Micro-Controller Based Crop Recommender Using Soil Analysis and Weather Forecasting Technique

机译:基于土壤分析和天气预报技术的创新型微控制器农作物推荐器

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India is a vast country where agriculture is a source of living for the majority of the population. Due to technical barriers, the output percentage in the agriculture sector is not up to the mark as and when compared to the effort that is being put in by our farmers. In this project, we have proposed an idea of a crop-recommender that will take the soil details and weather forecast of the area through API call and based on that input will recommend crops that can be grown in the area. In our proposal, we have developed a microcontroller based device to test the soil sample and a web-portal for analyzing and displaying the result. The entire process has been developed keeping the literacy percentage of the farmers in mind, thereby making the process quite simple and user friendly. Our proposed work is to enable the farmers to cultivate in their fields with more efficiency and reduce the crop damage percentage. This will enable to bring back ―Green-Revolution‖ in India.
机译:印度是一个广阔的国家,农业是大多数人口赖以生存的来源。由于技术壁垒,与我们的农民付出的努力相比,农业部门的产出百分比未达标。在此项目中,我们提出了一个农作物推荐者的想法,该想法将通过API调用获取该区域的土壤细节和天气预报,并基于此输入将推荐可在该地区种植的农作物。在我们的建议中,我们开发了基于微控制器的设备来测试土壤样品,并开发了用于分析和显示结果的网络门户。开发整个过程时要牢记农民的识字率,从而使过程非常简单且用户友好。我们建议的工作是使农民能够在田间更高效地耕种,并减少农作物受损的百分比。这将使印度带回“绿色革命”。

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