Real-time data analytics for mushroom farms

蘑菇农场的实时数据分析

• 批准号: 532226-2018
• 负责人: Azim, Akramul
• 金额: $ 3.64万
• 依托单位: University of Ontario Institute of Technology
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=644380
• 关键词: Real; time; data; analytics; mushroom

This project aims at developing a data analytics framework for mushroom farms from the data received from harvesting, packaging, and sales. The analytics framework will help predicting the demand to reduce waste and optimize the supply chain. Since mushrooms require special considerations for growing, and the data analytics framework will help this specific agriculture farm industry to leverage the potentials of machine learning. In this project, our objectives are to (1) create a real-time data analytics framework to analyze mushroom-specific information, (2) predict supply and demand based on the analysis of the data, and (3) track and control any inputs that can optimize the supply and demand. The proposed innovative real-time data analytics platform will be beneficial for current and next-generation mushroom farms.******

该项目旨在根据从收获、包装和销售中收到的数据为蘑菇农场开发一个数据分析框架。分析框架将有助于预测需求，以减少浪费和优化供应链。由于蘑菇的生长需要特殊的考虑，而数据分析框架将帮助这一特定的农业农场行业利用机器学习的潜力。在这个项目中，我们的目标是(1)创建一个实时数据分析框架来分析蘑菇特定的信息，(2)基于数据分析预测供需，以及(3)跟踪和控制任何可以优化供需的输入。拟议的创新实时数据分析平台将有利于当前和下一代蘑菇农场。*