Villarrubia Gabriel, Paz Juan F De, Iglesia Daniel H De La, Bajo Javier
Faculty of Science, University of Salamanca, Plaza de la Merced s/n, 37002 Salamanca, Spain.
Department of Artificial Intelligence, Universidad Politécnica de Madrid, Campus Montegancedo s/n, Boadilla del Monte, 28660 Madrid, Spain.
Sensors (Basel). 2017 Aug 2;17(8):1775. doi: 10.3390/s17081775.
Monitoring mechanisms that ensure efficient crop growth are essential on many farms, especially in certain areas of the planet where water is scarce. Most farmers must assume the high cost of the required equipment in order to be able to streamline natural resources on their farms. Considering that many farmers cannot afford to install this equipment, it is necessary to look for more effective solutions that would be cheaper to implement. The objective of this study is to build virtual organizations of agents that can communicate between each other while monitoring crops. A low cost sensor architecture allows farmers to monitor and optimize the growth of their crops by streamlining the amount of resources the crops need at every moment. Since the hardware has limited processing and communication capabilities, our approach uses the PANGEA architecture to overcome this limitation. Specifically, we will design a system that is capable of collecting heterogeneous information from its environment, using sensors for temperature, solar radiation, humidity, pH, moisture and wind. A major outcome of our approach is that our solution is able to merge heterogeneous data from sensors and produce a response adapted to the context. In order to validate the proposed system, we present a case study in which farmers are provided with a tool that allows us to monitor the condition of crops on a TV screen using a low cost device.
确保作物高效生长的监测机制在许多农场至关重要，尤其是在地球上某些水资源稀缺的地区。大多数农民必须承担所需设备的高昂成本，以便能够优化其农场的自然资源。鉴于许多农民无力承担安装此类设备的费用，有必要寻找更有效的解决方案，且实施成本更低。本研究的目的是构建能够在监测作物时相互通信的智能体虚拟组织。一种低成本的传感器架构使农民能够通过优化作物每时每刻所需的资源量来监测和优化作物生长。由于硬件的处理和通信能力有限，我们的方法采用PANGEA架构来克服这一限制。具体而言，我们将设计一个能够从其环境中收集异构信息的系统，使用温度、太阳辐射、湿度、pH值、湿度和风速传感器。我们方法的一个主要成果是，我们的解决方案能够合并来自传感器的异构数据，并产生适应具体情况的响应。为了验证所提出的系统，我们展示了一个案例研究，其中为农民提供了一种工具，使我们能够使用低成本设备在电视屏幕上监测作物状况。
