Identification of Disease in Tomato Plants Based on Image: Systematic Literature Review

Ejah Said Mansur, Mahmud Rizal Mustopa, Ricky Habibullah, Shofwatul Uyun
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Abstract

Plant diseases are taken into consideration as one of the major factors affecting food production and minimizing losses in production, and plant diseases must have rapid detection and recognition. Tomato (Lycopersicon esculentum) is one of the foodstuffs that are rich in nutrition and nutrients. Tomatoes are widely consumed by many countries including Indonesia and are hunted to be created in various spices, so tomatoes have a role in the economy due to the large demand. The recent enlargement of device studying techniques has found its application in plant disease detection especially tomato plants, presenting a powerful tool with relatively accurate effects. In this study, we present a systematic literature review aimed at identifying disease images in tomato plants. In this regard, we review 16 studies selected in the last five years with different approaches to address aspects related to tomato plant disease detection.
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基于图像识别番茄植株的病害:系统文献综述
植物病害是影响粮食生产和减少生产损失的主要因素之一,因此必须快速检测和识别植物病害。番茄(Lycopersicon esculentum)是营养丰富的食品之一。番茄被包括印尼在内的许多国家广泛食用,并被猎杀用于制作各种调味品,因此番茄在经济中发挥着巨大的作用。近年来,设备研究技术的不断发展应用于植物病害检测,尤其是番茄植株的病害检测,提供了一种效果相对准确的强大工具。在本研究中,我们对旨在识别番茄植株病害图像的文献进行了系统回顾。在这方面,我们回顾了过去五年中选取的 16 项研究,这些研究采用了不同的方法来解决与番茄植物病害检测相关的问题。
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