The paper “Greenhouse based on IoT and AI for societal benefit†using a native microcontroller (LPC2138), environment monitoring sensors, communication module (ESP8266), along with a server design (which takes into account the real time weather forecast, and data analysis on the data gathered by sensors for irrigation decision) is focused on achieving automation, IoT deployment level -3, wrong weather forecast counter-action in real time with automation and intelligent control for water utilisation and optimization which will result in a uniform yield. The system described optimizes water utilisation on the basis of plant's water need instead of cultivator's assumptions by working on static data such as plant and soil type and environment dynamic data gathered from sensors. The data has been tested for algorithms such as Naïve Bayes, C4.5 and SMO (svm). A web page has been created which can be used for monitoring the data of green house.
• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB Raspberry pi/arduino,other hardware components (please call) • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL
₹10000 (INR)
2020