Classification and Diseases Identification of Mango Based on Artificial Intelligence: A Review

Author:

Hassoon Israa Mohammed

Abstract

Mango is a drupe fruit which plays an active role in the economy of different countries. Classification process is a fundamental process in: diseases detection domain, sorting and grading. Previously, farmers can detect mango's diseases, identification ripe and unripe mango by their eyes, but it is inaccurate, waste of time and effort. AI technology helping farmers get high quality agricultural crops, the essential idea of AI in agriculture is its flexibility, reliability, speedy performance and applicability. AI technology improves enterprise performance and productivity by automating processes or tasks that once required human skill. AI can also understand data on a scale that no human can achieve, this ability can bring great advantages in the field of agriculture. In this paper, a review for application of artificial intelligence in mango classification and mango diseases identification have been presented. 

Publisher

Journal of Al-Qadisiyah for Computer Science and Mathematics

Subject

General Medicine

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A CONV-EGBDNN Model for the Classification and Detection of Mango Diseases on Diseased Mango Images utilizing Transfer Learning;Engineering, Technology & Applied Science Research;2024-06-01

2. Mango Varieties Classification using EfficientNetB2 Transfer Learning Model;2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE);2023-11-01

3. Automated Fruit-ripeness Categorization for Enhanced Shelf Life: A Case Study on Pakistani Chaunsa Mango Using Fusion of Deep Features;2023-08-08

4. Prediction of Mango Leaf Diseases using Convolutional Neural Network;2023 International Conference on Computer Communication and Informatics (ICCCI);2023-01-23

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