Prediction of Citrus Diseases Using Machine Learning And Deep Learning: Classifier, Models SLR
This work targets citrus growers and the agricultural industry, but it appears incremental as it applies existing methods to a specific domain without clear novelty in approach.
The paper addresses the problem of citrus diseases, which cause significant economic losses and reduce fruit quality, by applying machine learning and deep learning models for disease prediction.
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.