基于机器人监控系统的温室病害智能检测系统

S. Fernando, Ranusha Nethmi, Ashen Silva, Ayesh Perera, R. de Silva, P. Abeygunawardhana
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引用次数: 8

摘要

温室农业由于其可控的气候特点,在农业中起着重要的作用。最近的研究表明,由于植物的病害事件,温室下产量的平均创造正在减少。这些食物已经成为一项艰巨的任务,因为这些植物受到各种细菌疾病、微生物和害虫的攻击。这些化学品是间歇性地施用于植物,而没有考虑到每一种植物的必要性。由于这些原因,温室环境出现了一些问题。因此,在早期阶段发现疾病的系统是非常必要的。这项研究的重点是设计一种系统来检测导致温室植物发黄的疾病。植物变黄可以被认为是在温室控制环境下生长的植物的一个重要问题。通过本研究重点研究了最重要和最引人注目的作物之一番茄。有一些特殊的疾病会导致番茄变黄,这些疾病已经被鉴定出来。用于早期识别感染的技术有图像处理、机器学习和深度学习。索引术语-温室,疾病诊断,图像处理,机器学习,深度学习,番茄种植
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Disease Detection System for Greenhouse with a Robotic Monitoring System
Greenhouse farming plays a significant role in the agricultural industry because of its controlled climatic features. Recent examinations have stated that the mean creation of the yields under greenhouses is lessening due to disease events in the plants. These foods have become an imposing undertaking because these plants are being assaulted by different bacterial diseases, micro-organisms, and pests. The chemicals are applied to the plants intermittently without thinking about the necessity of each plant. Several problems have occurred in the greenhouse environment due to these causes. Therefore, there is a huge necessity for a system to detect diseases at an early stage. This research focused on designing a system to detect disease, which causes yellowish in greenhouse plants. Plant yellowing can be considered a significant problem of plants that grow under greenhouse-controlled environments. Through this research is focused on the most important and one of the most attention-grabbing crop tomato. There are specific diseases that cause yellowish the tomato plant, and they have been identified. The techniques utilized for early recognition of infection are image processing, machine learning, and deep learning. Index Terms-Greenhouses, Disease diagnosis, Image processing, Machine Learning, Deep Learning, Tomato Farming
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