Development of Smart Farming based on Features Extraction using Big Data in the Internet of Thing

dc.contributor.author	Zahid Abbas, 01-134151-081
dc.contributor.author	Mazahir Hussain, 01-134151-045
dc.date.accessioned	2019-03-08T12:54:43Z
dc.date.available	2019-03-08T12:54:43Z
dc.date.issued	2018
dc.identifier.uri	http://hdl.handle.net/123456789/8326
dc.description	Supervised By Dr. Awais Ahmad	en_US
dc.description.abstract	The purpose this project is to design a real-time Industrial l o T based (Industry 4.0) system to increase the production level of crops by analyzing the properties of soil and past data set with the help of pH Level Detector, Soil Moisture Sensor etc. Raspberry Pi, Cloud Services and Deep Learning Algorithm. Agriculture system is a very important source in economic growth, but there has been a very little development in this sector. This project will provide a good opportunity for the farmers to use technology and change their old way of farming to bring a positive change in the agriculture sector. The system will keep the farmers updated about their Field condition through Smartphone Application. The system will acknowledge the timings of fertilizing and watering etc	en_US
dc.language.iso	en_US	en_US
dc.publisher	Bahria University Islamabad Campus	en_US
dc.relation.ispartofseries	BS (CS);P-8012
dc.subject	Computer science	en_US
dc.title	Development of Smart Farming based on Features Extraction using Big Data in the Internet of Thing	en_US
dc.type	Project Reports	en_US