基于图像处理的农业推荐系统

Saranya K, Deena Dhayalan S, P. R, S. M.
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引用次数: 1

摘要

农业是印度的支柱,在就业和经济中发挥着重要作用。农业损失的主要原因之一是种植作物的选择不当。大多数农民也不知道土壤对养分、矿物质、水分含量等的要求。这给农民带来了精神和经济压力。农民面临的另一个主要问题是影响植物的疾病和害虫,这些疾病和害虫只有在后期才能意识到。为了改善这种情况,提出了一个模型,该模型根据居住地点考虑天气和土壤等参数,推荐最合适的作物。与此同时,还建立了另一个模型来预测该疾病并建议针对该疾病的杀虫剂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Agriculture Based Recommendation System with Image Processing
Agriculture is the backbone of India as it plays a major role in Employment and Economy. One of the main reasons for loss in Agriculture is poor selection of crops that are to be grown. Most of the farmers are also not aware of requirements of soil like Nutrients, Minerals, Moisture content and others. This causes mental and financial stress to farmers. Other Major problem that a farmer faces is the disease and pest that affects the plant, which are aware only in later stages. To get better of this scenario, a model is suggested which recommends the most suitable crop by considering parameters like weather and soil based on live location. Along with this another model is constructed to predict the disease and suggest pesticides for that disease.
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