利用人工智能技术进行草药疾病诊断,促进农业可持续创新

Satishkumar D, Joshua Daniel Raj J, Anoopkumar H S, Chethan D R, Deekshith More B, Kushal A Y
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引用次数: 0

摘要

农产品质量对任何一个国家的经济都有很大的影响,尤其是印度,农业部门贡献了该国GDP的20%到25%。因此,健康植物的发展导致国家经济的良好增长,减少全球粮食问题。如果植物生长在不健康的条件下,并受到疾病的影响,直接减少了国家的国内生产总值,用现有方法预防这种疾病是耗时的,而且不符合农民的资本。因此,我们可以利用图像处理和深度学习来发现植物早期的获得性感染。草药可以直观地看到,因此便于应用图像处理技术来识别疾病。草本植物是地球上食物的主要来源。如果植物周期性地受到感染和疾病的影响,就会成为一个很大的威胁。对植物的诊断是基于视觉上看到的症状。如今,人们对传统方法和技术的偏好逐渐被忽略,转而使用深度学习过程来检测疾病,深度学习是图像分类问题中蓬勃发展的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Herbs Ailment Diagnosis using AI Techniques for Sustainable Innovation in Agriculture
The agricultural products quality is the influential of economy of any country, especially India contributes 20 to 25% of country's GDP from the agricultural sector. Hence the developing of healthy plants leads to good economic growth of the country and less global food problem. If plants are growing in unhealthy condition and it is effected by disease directly decrease in the country's GDP, to prevent this disease by the existing methods is time consuming and not as per the capital of the farmers.so we can make use of image processing and deep learning to discover acquired infections to the plants early stages. Herbs can be visually seen hence it is convenient to apply image processing technique to identify the disease. Herbs were main origin of food on earth. If the plants are periodically effected by infections and disease becomes a big threat. The diagnosis is given to the plants based on the symptoms visually seen. Nowadays negligible preference towards the traditional methods and the technology is grown, switched towards the deep learning process to detect disease and deep learning is the drastic growing technology in image classification problems.
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