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
Work with Asparagus Farmers on IoT Solution
The quality of asparagus depends heavily on the temperature of the ground in which it’s grown. To control the temperature, farmers use a two-sided sheet of foil: the black side draws in sunlight to increase the heat of the asparagus bed, and the white side reflects light to cool the bed down. In order to make the right “black or white” decision, the farmer needs to measure the temperature of every field at least once each evening.
Case Study
Semios Helps Growers Find a Safer Alternative to Harmful Pesticides
Semios has been offering pest management systems using a network of connected devices including pheromone dispensers, automated traps, soil moisture meters, leaf-wetness monitoring and weather stations. Pheromones are an alternative for pesticides. The challenge was that pheromones are generally more expensive than pesticides. To get the growers to adopt pheromones Semios need to automate their delivery in a way that's going to be more cost-effective. The two key elements of precision agriculture are the provision of information based on data collected from the field and, based on that information, timely, precise action to manage the crop. Semios wanted an IoT solution to better manage the data and control the logistic of pheromone.