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Pest Detection Using Machine Learning | IEEE Conference Publication | IEEE Xplore

Pest Detection Using Machine Learning

Publisher: IEEE

Abstract:

Agriculture-related goods are a necessity for any nation. When plants become ill, the nation's agricultural output and economic potential are affected. Early treatment id...View more

Abstract:

Agriculture-related goods are a necessity for any nation. When plants become ill, the nation's agricultural output and economic potential are affected. Early treatment identification is crucial in agribusiness for productive crop production. After recognizing the signs of leaf diseases, automatic techniques for categorizing plant diseases can aid in acting. The ability to recognize plant diseases in the agricultural industry is essential since they compromise the plant's health and robustness, two factors that are critical to agricultural output. These issues are typical in plants, and the cultivation might be substantially hampered if suitable preventative measures are not implemented. In the actual world, illness detection now involves professional judgement and physical examination, which is time-consuming and expensive. We are introducing computerized plant disease detection and classification based on artificial intelligence for rapid and straightforward disease detection and classification. The primary goal of our method is to boost agricultural crop yield. This method involves several processes: picture gathering, image pre-processing, feature extraction, and identification.
Date of Conference: 14-15 September 2023
Date Added to IEEE Xplore: 07 November 2023
ISBN Information:
Publisher: IEEE
Conference Location: Ghaziabad, India

I. Introduction

India is an agrarian economy since half of its people rely on farming. The importance of agribusiness to government income is increased, given that agribusiness is considered India's economic foundation. Whether or not they know about it, most Indians depend on agriculture. Some directly interact with these resources, whereas others are related to farmers [1]. India may manufacture cereals, which may have a significant fiscal effect. In order to achieve a desired federal label, it is crucial to assist farmers with large farmers in the situations of land, finance, as well as other technology. More than 58 per cent of India's population engaged in agriculture as their primary source of revenue. In FY20, it was estimated that the market capitalization of agriculture, forestry, and fisheries would be Rs. 19.49 lakh crore (US$ 276.37 billion). The Gross Value Added (GVA) of agricultural and related industries in India in FY20 was 17.8% at current prices [1], [2].

References

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