基于机器学习的叶片病害检测系统

Swati Tiwari, Pranjal Patle, Pranshu Patle, Kuldeep Sonkusare, Pranali Mungate
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摘要

我们国家的主要产业是农业。大多数人居住在农村地区,完全依靠农产品为生。任何患病植物的农产品质量和产量都会下降。因此,研究和疾病检测至关重要。为了在实际种植和食品保存中成功地控制和抑制病害,真正的作物病害暴露和鉴定是必不可少的。农民要想取得成功,早期疾病检测和诊断至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Leaf Diseases Detection System Using Machine Learning
—Our country's main business is agriculture. The majority of people reside in rural regions and rely solely on agricultural products for their livelihood. The quality and yield of agricultural goods will decline in any plant that has the disease. Research and illness detection are therefore crucial. For disease to be successfully controlled and inhibited for practical cultivation and food preservation, genuine crop disease exposure and identification are essential. For farmers to succeed, early illness detection and diagnosis are essential.
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