Modern agriculture is constantly evolving to increase production despite unfavorable environmental conditions. A promising approach is 'greenhouse cultivation' providing a microclimate to the cultivated plants to overcome unfavorable climate. However, massive-sized greenhouses develop non-uniform micro-climate throughout the complex requiring high degree of human supervision. We propose deploying an Agri-Bot to create and maintain positive ecological conditions in the greenhouse, reducing labor costs and increasing production. The prototype will contain two primary systems, the navigation system and the data analytics system. The navigation system will be controlled by an Arduino, and data analytics will be handled using an ESP8266 microchip. Numerous sensors for measuring the greenhouse parameters will be mounted on the robot. It will follow a predefined path, while taking readings at checkpoints. The microchip will collect and process data from sensors, transmit to the cloud, and give commands to the actuators. The soil and climate parameters like temperature, humidity, light intensity, soil moisture, pH will be measured periodically. When the parameters are not within a specified range, the Agri-Bot will take corrective actions like switching on blowers/heaters, starting irrigation etc. If external intervention is required, eg., fertilizer, it will indicate accordingly. Deploying such an Agri-Bot for monitoring and controlling microclimate in large-scale greenhouses can mitigate labor costs while increasing productivity. In spite of an initial cost, it can provide a high return on investment by providing flexibility, low power consumption and easy management to help greenhouse be water efficient, provide evenly dispersed and controlled sunlight intensity, temperature and humidity.
翻译:尽管环境条件不利,现代农业正在不断演变,以增加生产,尽管环境条件不利。一个有希望的方法是“种植温室气体”,为种植植物提供微观气候,以克服不利气候。然而,大型温室在整个建筑群中发展出非统一的微型气候,需要高度的人类监督。我们提议部署一个农业植物,以在温室中创造和维持积极的生态条件,降低劳动力成本,增加生产。原型将包含两个初级系统,即导航系统和数据分析系统。导航系统将由Arduino控制,数据分析系统将使用ESP8266微型芯片处理。许多测量温室参数的传感器将安装在机器人上。许多测量温室参数的传感器将沿着预先确定的路径发展,同时在检查站进行阅读。微芯将收集并处理来自传感器的数据,向云中传输数据,并向导体发出指令。土壤和气候参数,如温度、湿度、轻度、土壤湿度、湿度、pH,将定期测量。当参数在规定的范围内,甚至温室温度都能够帮助进行数据分析。当参数返回时,Arig-Bot将使用ES系统进行快速的快速变暖变暖的温度,然后开始,在转换过程中将进行一个不断变压。