Pest Recognition and Cloud Monitoring in Aeroponic System

Abstract

A eroponics is a great solution for those with limited space or nations without enough land for irrigation when it comes to cultivating plants. In aeroponics, an oxygen-and nutrient-rich solution is sprayed on the roots of the plants using a sprinkler system. In an aeroponics system, the growing chamber is covered. This method of growing plants was initially developed in the 1920s by botanists who used it to study the root system. The plants are inserted into the holes in a net container, their roots hanging in the shadowy interior. The high pressure aeroponic pump is activated by a programmable cyclic timer, which also causes the nutrient solution from the nutrient reservoir to be sprayed as a fine mist in the rooting chamber. The spray particle's extremely small size significantly reduces the amount of nutrient solution that is wasted, and the supply of well-oxygenated solution fully prevents root rot. Simply put, an aeroponic system is a structure with the traits listed below. Growing room with holes for hanging plants Abstract | An advanced form of hydroponics, aeroponics farming is the procedure of plant cultivation in a mist environment by spraying micro droplets of nutrient solution on the roots of plant in a closed habitat in order to procure fast and healthy plant growth. It is a soil-less culture as soil is just the medium for the plant for nutrients ingestion. As nutrients are supplied in an air water culture in the form of mist directly to the roots. This type of farming uses the micro elements from the nutrient solution in the form of mist in a more efficient way than from soil. In this paper a goal of an automated aeroponics farming is advances in which focus is on eliminating present agricultural problems of Pakistan like water shortage, pest or insects, flood etc. The system is used to cultivate high quality crops while gathering continuous data and use this data to further improve the quality and production. Sensors are used for the continuous monitoring of temperature, humidity and light Intensity. These sensors data is updated every minute (up to user) to achieve real-time monitoring of the plant's environmental conditions. There is also an incorporation of Deep Learning algorithm named Convolutional Neural Network (CNN) for monitoring of pest. IP102 and different internet sources are used to gather the pest dataset. And also, the usage of IOT for remotely monitoring of the sensors data.