arXiv Open Access 2023

Prediction of Citrus Diseases Using Machine Learning And Deep Learning: Classifier, Models SLR

Muhammad Shoaib Farooq Abdullah Mehboob
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Abstrak

Citrus diseases have been major issues for citrus growing worldwide for many years they can lead significantly reduce fruit quality. the most harmful citrus diseases are citrus canker, citrus greening, citrus black spot, citrus leaf miner which can have significant economic losses of citrus industry in worldwide prevention and management strategies like chemical treatments. Citrus diseases existing in all over the world where citrus is growing its effects the citrus tree root, citrus tree leaf, citrus tree orange etc. Existing of citrus diseases is highly impact on economic factor that can also produce low quality fruits and increased the rate for diseases management. Sanitation and routine monitoring can be effective in managing certain citrus diseases, but others may require more intensive treatments like chemical or biological control methods.

Topik & Kata Kunci

Penulis (2)

M

Muhammad Shoaib Farooq

A

Abdullah Mehboob

Format Sitasi

Farooq, M.S., Mehboob, A. (2023). Prediction of Citrus Diseases Using Machine Learning And Deep Learning: Classifier, Models SLR. https://arxiv.org/abs/2306.01816

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Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
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arXiv
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Open Access ✓