Agricultural IoT - Micro-Weather Tracking & Herding Dogs Sensor Hardware & Mobile Application
Agricultural IoT - Micro-Weather Tracking & Herding Dogs Sensor Hardware & Mobile Application
批准号:
538696-2019
负责人:
Gage, Cristina
金额:
$1.82万
依托单位国家:
加拿大
项目类别:
Applied Research and Development Grants - Level 1
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31
中文摘要
Schuyler Farm是一家多元化的农场,经营范围包括苹果、酸樱桃、绵羊和谷物(玉米、大豆和小麦)。他们的业务挑战包括详细的天气跟踪、牛群管理、农场狗管理、准确的作物输入应用程序(例如:杀菌剂),以及整个农场最低限度的数据连接。2017年,安大略省的苹果农场产值超过8100万美元,真菌和相关影响是这些农场大门收入的主要威胁。通过可靠的远程传感器进行准确的天气跟踪,可以帮助准确地确定杀菌剂的使用时间,并降低喷洒速度。莫霍克学院将与Schuyler Farm和QuaeNet Inc.合作,评估(A)使用分布式天气监测系统来帮助减少苹果园中杀菌剂的使用,以及(B)使用资产跟踪设备来监测牧羊犬的位置和活动的技术可行性。Schuyler Farm占地4000英亩的农场利用Maremma狗来帮助管理他们的羊群。这包括保护自己免受像郊狼这样的捕食者的伤害。然而,这些狗可以走很远的距离,需要时间来管理。每只狗项圈上的GPS传感器连接到一个移动应用程序,将帮助Schuyler Farm的团队管理他们的狗,并了解羊群面临的潜在威胁。莫霍克将通过QuaeNet、Lora传感器和莫霍克的Wayne Visser解决Schuyler Farm的业务挑战,并为莫霍克的学生提供电子和软件方面的创新解决方案。该项目的成果将使Schuyler Farm、QuaeNet、加拿大水果农场以及全国各地的农场狗羊群管理受益。该项目的工作将对2.246亿美元的苹果种植产生国家利益,因为它支持使用LORA传感器详细了解天气影响,并努力根据时机和数量开发更准确的杀菌剂。此外,QuaeNet的传感器和移动应用程序将对苹果园和其他水果种植以及加拿大各地的农场狗进行跟踪。
英文摘要
Schuyler Farms is a diversified farming operation that includes apples, sour cherries, sheep, and grains (corn, soybeans, and wheat. Their business challenges include detailed weather tracking, herd management, farm dog management, accurate crop input applications (ex: fungicide), and minimal data connectivity across the farm. Ontario produced more than $81 million in farm gate value of apples in 2017, and fungus and related impacts are a major threat those farm gate revenues. Accurate weather tracking with reliable long range sensors can help to accurately time fungicide applications, and reduce the rate of spraying. Mohawk College will collaborate with Schuyler Farms and QuaeNet Inc. to assess the technical feasibility of (a) using distributed weather monitoring systems to help reduce the application of fungicides in an apple orchard and (b) using asset tracking devices to monitor the location and activity of sheep herding dogs. Schuyler Farms' 4,000-acre farm operation utilizes Maremma dogs to help manage their sheep herd. This includes protecting from predators like coyotes. However, the dogs can travel a significant distance and require time to manage. GPS sensors on each of the dogs' collars connected to a mobile app will help the Schuyler Farms' team to manage their dogs and understand potential threats to the sheep herd. Mohawk will solve Schuyler Farms's business challenges with QuaeNet, LoRa sensors, and Mohawk's Wayne Visser, and Mohawk students in electronics and software to provide innovative solutions. The project outcomes will benefit Schuyler Farms, QuaeNet, Canadian fruit farms, and farm dog and sheep herd management across the country. The project work will have national benefits on the $224.6 million in apple farming by supporting the detailed understanding of weather impacts with LoRa sensors, and working towards more accurately fungicide by timing and amount. Further, QuaeNet's sensors and mobile apps will have tracking benefits for apple orchards and other fruit farming, as well as farm dogs across Canada.
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