基于云分析的农业与使用人工智能的预测分析

Jaimahaprabhu A, P. V, Gangadharan P S, B. Latha
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引用次数: 4

摘要

在印度农村农场实施数据分析和人工智能提高了作物生产力。我们的系统包括实时农场监控、云数据分析和移动应用程序。我们从土壤中感知土壤水分、pH值、光照强度和土壤养分含量。在云服务器中,我们对感知数据、土壤类型、景观、气候、日常市场价格和农民经济进行预测分析。该系统使用人工智能算法预测合适的作物和肥料。该应用程序还包括营销和社区平台。营销平台将供应商与农民联系起来,以良好的价格出售作物。社区平台为农民提供官员、专家和其他农民的指导。收集的数据将用于大数据分析以进一步推进。该系统通过无人机或人工代理对农场进行30天的监控以进行分析。从中心站,人工代理传输感知数据。提供有关气候变化、自然灾害和政府计划的信息。系统提供农作物、农药的储存场所,以及农作物的市场价格信息。主要方面是提供更好的收获,以提高作物生产力和农民的良好利润。
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Cloud Analytics based Farming with Predictive Analytics using Artificial Intelligence
ImplementingData Analytics and Artificial Intelligence in Indian rural farms enhances crop productivity. Our system involves Real-time farm monitoring, Cloud data analytics, and a mobile application. We sense soil moisture, soil pH, light intensity and soil nutrient content from soil. In a cloud server, we perform predictive analytics on sensed data, soil type, landscape, climate, day-to-day market price, and farmer's economy. The system predicts suitable crops and fertilizers using Artificial Intelligence algorithms. The application also includes marketing and community platform. Marketing platform links vendors with farmers for selling crops for good price. Community platform provides guidance to the farmers by officials, experts, and other farmers. Collected data will be used in Big Data Analytics for further advancements. The system monitors the farm for 30 days either by drone or human agent for analysis. From the central stations, human agent transfers the sensed data. Information on climatic changes, natural calamities, and government schemes are provided. System furnishes storage places for crops, pesticides, and market prices of crops information. The main aspect is to provide better harvesting to increase crop productivity and good profit for farmers.
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