Developing an Intelligent Farm System to Automate Real-time Detection of Fungal Diseases in Mushrooms

Q3 Agricultural and Biological Sciences
C. Jareanpon, Suchart Khummanee, Patharee Sriputta, Peter Scully
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引用次数: 0

Abstract

Mushrooms are economically valuable crops of high nutritional value. However, during cultivation they are continually threatened by fungal diseases, even in controlled-condition farm ecosystems. Fungal diseases significantly affect mushroom growth and can rapidly contaminate an entire crop. Farmer inspections can be hazardous to farmer health. This paper contributes an automated fungal disease detection system for the Sajor-caju mushrooms together with an intelligent farm system for precise cultivation environment control. The objective was to create and test a detection system that could detect fungal diseases rapidly, reduce farmer exposure to fungal spores, and alert farmers when fungal disease was detected. The system is composed of three parts: (i) a high-precision environment control system, (ii) an innovative imaging robot system, and (iii) a real-time fungal disease prognosis system using deep learning, with an alarm system. The trial results show that the real-time disease prognosis system has 94.35% precision (89.47% F1-score, n=13,500), and its twice daily inspections detect and report fungal disease typically within 6 to 12 h. The innovative farm’s overall capability for mushroom cultivation (environment control) is regarded as excellent and has precise control (99.6% capability, over 3-months). The innovative imaging robot’s overall operational trial performance is effective (at 99.7%). Moreover, the system effectively notifies farmers via smartphone when a fungal disease is detected.
开发一种自动实时检测蘑菇真菌疾病的智能农场系统
蘑菇是具有高营养价值的经济作物。然而,在种植过程中,即使在控制条件的农场生态系统中,它们也不断受到真菌疾病的威胁。真菌病害严重影响蘑菇生长,并能迅速污染整个作物。农民检查可能对农民的健康有害。本文提出了一种自动真菌病害检测系统和一种智能农场系统,用于精确的栽培环境控制。目标是创建和测试一种检测系统,该系统可以快速检测真菌疾病,减少农民接触真菌孢子的机会,并在检测到真菌疾病时向农民发出警报。该系统由三部分组成:(i)高精度环境控制系统,(ii)创新成像机器人系统,(iii)使用深度学习的实时真菌疾病预测系统,并带有报警系统。试验结果表明,实时疾病预测系统准确率为94.35% (f1评分89.47%,n= 13500),每天两次检查,一般在6 ~ 12 h内发现并报告真菌疾病。创新农场蘑菇栽培(环境控制)整体能力优良,控制精准(能力99.6%,3个月以上)。创新成像机器人的整体操作试验性能是有效的(99.7%)。此外,当检测到真菌疾病时,该系统可以通过智能手机有效地通知农民。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Current Applied Science and Technology
Current Applied Science and Technology Agricultural and Biological Sciences-Agricultural and Biological Sciences (miscellaneous)
CiteScore
1.50
自引率
0.00%
发文量
51
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