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
Precision beekeeping with wireless temperature monitoring
Honeybees are insects of large economic value and provide a vital service to agriculture by pollinating a variety of crops. In addition, bees provide us with valuable products such as honey, beeswax, propolis, bee venom, etc. Monitoring of honeybee colony health, population, productivity, and environmental conditions affecting the colony health have always been exceedingly difficult tasks in apiculture. Research has shown that even small deviations (by more than 2°C) from the optimal temperatures have a significant influence on the development of the brood and the health of adult bees.
Case Study
IIC Precision Crop Management Testbed
The global population is continuing to grow at a rapid pace placing increasing demands on the global food supply. In addition, impacts from climate change and a yearly reduction of available arable land will require the Agricultural sector to develop better ways of increasing crop yields and reducing costs. GOAL The goal for the Precision Crop Management Testbed is to create an environment where IoT solutions with the potential to impact world hunger can be developed.
Case Study
Freight Farms: Innovative Agriculture through the IoT
Freight Farms’ goal was to create a connected farming environment that was simple to set-up, highly responsive, easy to scale, and would offer a path to future features and services - from day-to-day operations, to support, to growing optimizations, connecting their farms delivers an even greater experience to their farmers. After internal constraints for the hours of support required to build, integrate and maintain their own IoT solution, Freight Farms began looking at and evaluating IoT partners they could trust.
