Detection and Classification of Diseased Mangoes

Koushik, H Akshay; Bharadwaj, Ritanya B; Naik, Ram Prasad E; Ramesh, Gopisetty; Yogesh, Mitesh; Habeeb, S. K. M.

doi:10.1109/icosica49951.2020.9243277

Cited by 6 publications

(2 citation statements)

References 9 publications

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“…Ram Prasad [8], author have worked on Anthracnose and Scab. The input is gathered from several sources and is divided into three categories: Anthracnose, Scab, and Healthy.…”

Section: Literature Surveymentioning

confidence: 99%

Classification of Mango Leaf Disease using Machine Learning to Enhance Yield Productivity

Harshali Patil, Varsha Bendre, Jayashree Katti

2024

jes

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Fruits provide critical nourishment to the human body. Proper Care and upkeep are essential for the fruit to be healthy. Lack of maintenance, infections, spot, fungus all cause significant production and profit losses. Mango is a seasonal and famous fruit which is consumed all over the world. It is a delicate fruit that is susceptible to disease that reduce the quality as well as quantity. Manual illness or infection inspection is a time-consuming and labour-intensive technique that necessitates a large amount of resources and therefore it is inefficient. On the other hand, automatic inspection provides various advantages such as less time consuming, less labour and also the number of resources required are less. Image classification techniques and algorithms can be used to distinguish between infected and healthy mangoes, decreasing losses.

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“…Ram Prasad [8], author have worked on Anthracnose and Scab. The input is gathered from several sources and is divided into three categories: Anthracnose, Scab, and Healthy.…”

Section: Literature Surveymentioning

confidence: 99%

Classification of Mango Leaf Disease using Machine Learning to Enhance Yield Productivity

Harshali Patil, Varsha Bendre, Jayashree Katti

2024

jes

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“…Some of the authors have worked on the real time data whereas some authors have utilised data available from online resources. Akshay Koushik [8], they have worked on two diseases such as Anthracnose, Scab. Anthracnose, Scab, and Healthy are the three categories into which the input is divided after being gathered from various sources.…”

Section: Literature Surveymentioning

confidence: 99%

Automatic Classification of Mango Leaf Disease based on Machine Learning and Deep Learning Techniques

Deepali Joshi

2023

IJRITCC

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Fruits are the essential source of nutrition for the human body. The fruit needs to be nurtured and cared for in order to remain healthy. Lack of upkeep, illnesses, blemishes, and fungi result in a considerable loss of produce and profit. One of the important and popular fruit that is consumed worldwide is Mango. It is a fragile fruit and is vulnerable to diseases that affects its quality and quantity. Manual inspection for diseases or infection is a tedious process and requires abundant resources such as time and labour. Manual inspection is inefficient and inaccurate. Automatic inspection on the other hand has numerous benefits. The image classification techniques and algorithms can be used to detect infected and healthy mangoes thus reducing the losses to the farmers.

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Recent advances in automatic feature detection and classification of fruits including with a special emphasis on Watermelon (Citrillus lanatus): A review

et al. 2023

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Detection and Classification of Diseased Mangoes

Cited by 6 publications

References 9 publications

Classification of Mango Leaf Disease using Machine Learning to Enhance Yield Productivity

Classification of Mango Leaf Disease using Machine Learning to Enhance Yield Productivity

Automatic Classification of Mango Leaf Disease based on Machine Learning and Deep Learning Techniques

Recent advances in automatic feature detection and classification of fruits including with a special emphasis on Watermelon (Citrillus lanatus): A review

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