利用物联网进行土壤监测和测试,用于肥力水平和作物预测

Swapnil Raut, V. Chitre
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引用次数: 1

摘要

农业综合企业是印度的基础。在印度,50%的剩余任务依赖于农业综合企业。农业在印度经济中的地位高于其他部门。在任何情况下,农民都采用习惯的策略来发展收成,这涉及到较少的收益。此外,侵蚀和分解同样是收益率降低的主要动机。这将影响在减少结果水平。不同过程中土壤补给物的流失同样是降低土壤丰富度的动机。钾(K)、氮(N)和磷(P)等补品是植物进化的基础。农业的进步对解决这些问题至关重要,在农业综合经营部分,精耕细作是适当的回应。利用物联网设备可以想象到这一点。农民可以获得必要的数据,就像屏幕显示产量一样。物联网通过传感器和其他已安装的设备将整个世界联系在一起。将从不同的领域进行不同的土壤测试,并确定土壤的价值,利用PH传感器,补充价值将从它分离出来。实时信息将被发送到云数据库,在那里信息将被保存。在那里,信息将被分解以提高作物产量。这里对于信息的分解采用了信息挖掘的方法。农业信息挖掘在产量假设、土壤生产力和植物病害等方面承担着必不可少的工作。农民可以通过网站在屏幕上观看信息。更重要的是,农民同样可以根据这些信息获得作物列表,哪些作物在该土壤中可能获得产量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Soil Monitoring and Testing Using IoT for Fertility Level and Crop Prediction
Agribusiness is the foundation of India. In India, 50 % of the remaining task at hand depends upon agribusiness. The responsibility of the agriculture part in the Indian economy is higher than some other divisions in India. In any case, Farmers utilized customary strategy for developing harvests, which involve less profitability of yields. Additionally, an erosion and disintegration are likewise a principle motivation to less profitability of yields. This will impact in diminishes fruitfulness level. Loss of soil supplements through different courses is likewise motivation to diminish soil richness level. Supplements like potassium (K), nitrogen (N), and phosphorus (P) are basic for the evolution of a plant. The advancement in agriculture is vital to tackle these issues in the agribusiness part and shrewd cultivating is that the appropriate response. This can be conceivable utilizing IOT gadgets. Farmers can get the necessary data just as the screen is yield. IOT associates the whole world with the help of sensors and other installed gadgets. The diverse soil tests will be taken from various fields and soil esteems will be determined to utilize a PH sensor where supplements worth will be separated from it. The live information will be sent to the cloud database where information will be put away. Where information will be broke down to improve crop yields. Here for information broke down information mining method is used. Information mining in agriculture assumes an imperative job in yield assumptions, soil productivity, and plant sicknesses and so on. Farmers can watch information on screen by a website. What's more, farmers will likewise get crop lists dependent on that information which harvests will be possible to yield in that soil.
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