INTELLIGENT FRAMEWORK FOR DETECTION OF PLANT/CROP DISEASES USING DEEP LEARNING

R. Gupta
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Abstract

The financial influence of agriculture today is expanding in tandem with the economy of our nation and has become the large industry which plays a vital and crucial role for the uplifting of our nation. Keeping track of plant diseases caused by the assistance of experts could be expensive when it comes to the agricultural area, so there is a need for a system capable of automatically identifying since it could revolutionize the monitoring of vast fields of crops and allow for the plant's treatment of leaves as soon as possible after disease detection. There are numerous illnesses that harm various plants/crops and hamper their growth and agricultural fields. So there is a need to identify the disease and tell how to recover from it. So there is a need to develop such an application which could help in the prediction of plant/crops disease and how to recover from the same. In many nations, including India, agriculture is a substantial industry. Given that a massive portion of the Indian financial system depends on agricultural production, it is crucial to give the issue of food production a careful study. The agricultural industry gave immense importance to the nomenclature and acknowledgment of crop infection on both technical and financial level. While monitoring the plant diseases which are caused in the agricultural fields with the help of experts could be very expensive in the long run so a technique or system that can recognize diseases automatically is required because it could change the way the vast fields of crops are monitored, and a perfect automated system could be built which could easily detect the plant diseases. It has become a necessity to develop an automated system which could easily detect the plant diseases beforehand and could easily help in overcoming them by suggesting the measures and techniques to overcome them. So that agricultural productivity could be increased, and agricultural production could be done properly with vast production of good quality crops which in turn help in growth of our nation.
使用深度学习检测植物/作物病害的智能框架
今天,农业的财政影响与我国经济同步扩大,已成为对我国民族振兴起着至关重要作用的大产业。在农业领域,跟踪由专家协助引起的植物疾病可能会花费高昂,因此需要一种能够自动识别的系统,因为它可以彻底改变对大片作物的监测,并允许植物在发现疾病后尽快对叶片进行处理。有许多疾病危害各种植物/作物,阻碍它们的生长和农田。因此,有必要确定这种疾病,并告诉如何从中恢复。因此,有必要开发这样一种应用程序,以帮助植物/作物疾病的预测和如何从相同的恢复。在包括印度在内的许多国家,农业是一个重要的产业。考虑到印度金融体系的很大一部分依赖于农业生产,对粮食生产问题进行仔细研究是至关重要的。农业工业在技术和经济层面上对作物侵染的命名和确认给予了极大的重视。而在专家的帮助下监测农业领域中引起的植物疾病从长远来看可能是非常昂贵的,因此需要一种能够自动识别疾病的技术或系统,因为它可以改变对大片作物的监测方式,并且可以建立一个完美的自动化系统,可以轻松地检测植物疾病。开发一种自动化系统,既能方便地提前检测病害,又能方便地提出克服病害的措施和技术,已成为当务之急。因此,农业生产力可以提高,农业生产可以做得很好,大量生产优质作物,这反过来有助于我们国家的发展。
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