IOT Based Automated Hydroponic Cultivation System

Welcome to DSpace BU Repository

Welcome to the Bahria University DSpace digital repository. DSpace is a digital service that collects, preserves, and distributes digital material. Repositories are important tools for preserving an organization's legacy; they facilitate digital preservation and scholarly communication.

Show simple item record

dc.contributor.author Nabeel Qureshi, 01-133182-146
dc.contributor.author Mubashir Rehman, 01-133182-188
dc.date.accessioned 2022-10-26T13:31:54Z
dc.date.available 2022-10-26T13:31:54Z
dc.date.issued 2022
dc.identifier.uri http://hdl.handle.net/123456789/13799
dc.description Supervised By Dr. Imtiaz Alam en_US
dc.description.abstract Hydroponics is a way of developing agriculture products in a nutrient rich solution in place of soil. This hydroponic system requires the regulation of several plant growth-based parameters such as temperature, humidity, water level, solar irradiance, acidity (pH), and the concentration of the nutrient (EC). Maintaing pH level, temperature, humidity, and solar radiance, level of the water with nutrient solution, and sufcient level of water are critically important in hydroponics and pertinent to plant growth. This work proposes a fully automated system using both a microcontroller and a microprocessor-based board, along with sensors and actuators to keep human intervention at a minimum. Human intervention is only required during the seedling plantation phase and selecting the initial plant type. The use of the Internet of Things (IoT) to control a hydroponics system independently and intelligently is proposed.. ATMEGA328 is the main processing unit with a sub processing unit ATMEGA328.The system is modeled and proven to successfully collect information from the Hydroponic environment and then systematically evaluate and analyze them.Once completed, the system can successfully maintain optimal plant growth parameters, promote optimum plant health, and transfer all collected data to a cloud server. en_US
dc.language.iso en en_US
dc.publisher Electrical Engineering, Bahria University Engineering School Islamabad en_US
dc.relation.ispartofseries BEE;P-1692
dc.subject Electrical Engineering en_US
dc.title IOT Based Automated Hydroponic Cultivation System en_US
dc.type Project Reports en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account