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农场监控和精准农业
概述
农场监控和精准农业是农场管理概念，它使用传感器、来自外部系统的数据（如天气报告）和网络通信来根据每个田地的特定条件定制农业操作。农民通过传感器生成数据并分析信息以评估当前做法并进行改进以提高效率和有效性。有多种智能农业应用，包括作物观察、农用车辆跟踪、灌溉管理、牲畜管理和存储监控。
适用行业
- 其他
适用功能
- 维护
市场规模
技术观点
精准农业集成了哪些技术？
GPS 和 GIS 技术融入日常农场工作。但也包括作物传感器、航空和/或卫星图像。
案例研究.
Case Study
Intelligent Farming with ThingWorx Analytics
Z Farms was facing three challenges: costly irrigation systems with water as a limited resource, narrow optimal ranges of soil moisture for growth with difficult maintenance and farm operators could not simply turn on irrigation systems like a faucet.
Case Study
Enabling Internet of Things Innovation in Agriculture
DigiBale, wanted to apply technology know-how and IP from implementations successfully to more agriculture sectors including cotton, forestry, sugarcane and cattle. However, farmers and growers still have worries about the connected technology.
Case Study
Executing Precision Farming to Maximize Yields
Traditionally, farmers either apply a high dosage or a high number of repeat sprayings of chemicals as they do not want to risk any disease or damage to the crops on which their livelihoods depend. This is quite inefficient in terms of both time and money wasted. Dacom aimed to increase the effectiveness of these farmers by providing them with accurate, real-time, and streamlined information.
