Soil Analysis Using Iot

A. More, Ashishkumar Mouria, Namrata Panchal, Kavita Bathe
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引用次数: 3

Abstract

For endurable development in the agricultural field continuous cropping is necessary along with the constant check of soil fertility. Agricultural yield primarily depends on soil fertility. Soil nutrient measurement is very important for proper plant growth and effective fertilization. The current approach of measuring the soil nutrients is time-consuming because soil samples are to be collected from the field and it is measured in a laboratory situated in cities away from the farms. Due to more time consuming, There is a need to create a system that will generate similar results within less time. In this paper, a system is proposed that measures Soil nutrients (N, P, K) for rice crop using color sensor TCS3200. Results will be generated in a short time. The user can view the soil fertility as per their convenience on the web application. It will also suggest the farmers which organic fertilizers they can use to get better yield and maintain soil fertility.
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利用物联网进行土壤分析
为了农业的持久发展,连作是必要的,同时要不断地检查土壤肥力。农业产量主要取决于土壤肥力。土壤养分测量对植物的正常生长和有效施肥具有重要意义。目前测量土壤养分的方法非常耗时,因为土壤样本要从田间采集,并且要在远离农场的城市实验室中进行测量。由于耗时较长,因此需要创建一个能在较短时间内产生类似结果的系统。本文提出了一种利用颜色传感器TCS3200测量水稻作物土壤养分(N、P、K)的系统。结果将在短时间内产生。用户可以在web应用程序上方便地查看土壤肥力。它还将建议农民使用哪种有机肥来获得更好的产量并保持土壤肥力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Machine Learning Approach: Recommendation of Suitable Crop for Land Using Meteorological Factors Soil Analysis Using Iot
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