Leaf Disease Identification and Remedy Recommendation System

N. Sirisha, Pasunoori Devi, P. Purushotham, D. SaiSri, Vemuri Laxmi
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Abstract

Agriculture is one field that has a big impact on people's lives and their economic situation. Poor management is the cause of agricultural losses. Farmers' lack of knowledge about disease leads to reduced yields. Farmer helpline call-centers are accessible, although they do not provide assistance 24 hours a day, seven days a week, and communication might be problematic at times. Farmers who are unable to effectively describe disease over the phone require an investigation of the afflicted leaf area. Since photographs and videos of crops provide a better view of the crop and agricultural scientists can provide a better way to fix difficulties related to healthy crop, farmers have not been informed. Because to advancements in technology, equipment are now capable of recognizing and detecting plant illnesses. Recognizing disease early on can help to speed up treatment and reduce the impact on harvest. As a result, the focus of this research is on employing image processing to identify plant diseases.
叶片病害鉴定和补救建议系统
农业是一个对人们的生活和经济状况有很大影响的领域。管理不善是造成农业损失的原因。农民缺乏疾病知识导致产量下降。农民帮助热线呼叫中心是可以访问的,尽管他们不是每周7天每天24小时提供帮助,而且有时沟通可能会出现问题。无法通过电话有效描述疾病的农民需要对患病的叶面积进行调查。由于作物的照片和视频可以更好地了解作物,农业科学家可以提供更好的方法来解决与健康作物有关的困难,因此农民没有被告知。由于技术的进步,设备现在能够识别和检测植物疾病。及早发现疾病有助于加快治疗,减少对收成的影响。因此,本研究的重点是利用图像处理技术来识别植物病害。
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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