DSpace Collection:https://elibrary.khec.edu.np/handle/123456789/4052026-07-17T04:25:54Z2026-07-17T04:25:54ZIot based hydroponic farmingKrishu Shrestha (770412)Laxman Baduwal (770413)Shreejan Rana (770438)Simit Raj Lama (770442)https://elibrary.khec.edu.np/handle/123456789/8992026-03-30T06:33:13Z2025-01-01T00:00:00ZTitle: Iot based hydroponic farming
Authors: Krishu Shrestha (770412); Laxman Baduwal (770413); Shreejan Rana (770438); Simit Raj Lama (770442)
Abstract: This project is about an IoT-based hydroponic farming system that strives to modernize
farming with automated, cost-effective administration and farm management. The ESP-32
microcontroller interfaces with key sensors such as temperature, pH, water level, and TDS for
the plants as parameters for their growth intervention. The outcome will be displayed on an
LCD screen and sent to the cloud platform, where it can be accessed using mobile applications
to monitor the procedure and control it at a cost.
The main aim of managing hydroponic farms is that the process of fertilization, nutrient
applications, and other related chores are all automated and thus always guarantee that the
plants have their best environments for their healthy growth. This farm cannot possibly think
about soil, this is the water-intensive requirements of today's crops, where they save on
disposing of all soil and potting media. It overcomes the restraints of earlier studies, with high
up-front monetary investment, an overly complicated setup, and lack of remote accessibility.
It won't be about gadgets, but rather solutions for practical use on a small scale and use against
students and hobbyists, which makes smart agriculture tools more accessible and practical in
real-world applications.2025-01-01T00:00:00ZAgrobot-the cnc based farming systemRaj Rajeshwor Maharjan (770428)Ranjib Tamang (770430)Rashila Sainju (770431)Rojish Twati (770433)https://elibrary.khec.edu.np/handle/123456789/8982026-03-30T06:33:10Z2025-01-01T00:00:00ZTitle: Agrobot-the cnc based farming system
Authors: Raj Rajeshwor Maharjan (770428); Ranjib Tamang (770430); Rashila Sainju (770431); Rojish Twati (770433)
Abstract: About 67% of Nepal's population is involved in agriculture, according to the 2021/22 National Sample Census of Agriculture. This includes 62% of households, which shows that the number of people involved in agriculture is degrading. Looking at these problems we focus on building a Computer Numerical Control (CNC) based farming system which is ideal for farming and research purpose in small personal spaces which minimize the human labor, help in precise farming and can be manually controlled. By using CNC technology, it allows the machine to follow the coordinate points that are entered into the system accurately. The command to drive a CNC machine is usually called the G-Code . So, CNC acts as our main component for this project or simply CNC is our main tool for building a farming system.
This project is centered on automating and manual agricultural tasks like planting, watering, and monitoring environmental parameters using sensors like DHT11 for monitoring the temperature and humidity and LDR for monitoring the light intensity of the farm�s surrounding, soil moisture sensor for controlled and automated irrigation for the plant growth through the use of CNC technology. We decided to cultivate Bok choy, a plant with shallow roots, as it demands careful spacing and precise attention to thrive. By merging CNC technology with these sensors, our project aspires to develop a sustainable, efficient, and user-friendly farming solution fitted for urban environments.2025-01-01T00:00:00ZGyroscope based self-balancing bicycle prototype with pid control systemBipluv Shrestha (770405)Iman Shrestha (770409)Parbat Bista (770421)Shreya Amatya (770439)https://elibrary.khec.edu.np/handle/123456789/9012026-03-30T06:33:17Z2025-01-01T00:00:00ZTitle: Gyroscope based self-balancing bicycle prototype with pid control system
Authors: Bipluv Shrestha (770405); Iman Shrestha (770409); Parbat Bista (770421); Shreya Amatya (770439)2025-01-01T00:00:00ZSanitary pad vending machine using
raspberry-piBipin Nhemhafuki (770404)Jeena Suwal (770410)Sarad Libi (770436)Shiva Ram Duwal (770437)https://elibrary.khec.edu.np/handle/123456789/9002026-03-30T06:33:16Z2025-01-01T00:00:00ZTitle: Sanitary pad vending machine using
raspberry-pi
Authors: Bipin Nhemhafuki (770404); Jeena Suwal (770410); Sarad Libi (770436); Shiva Ram Duwal (770437)
Abstract: This project focuses on the design and development of a smart, automated vending machine
for sanitary napkin distribution in schools and colleges. Access to menstrual hygiene products
remains a challenge in many institutions, often leading to inconvenience and discomfort for
students. To address this, the vending machine provides a cashless, contactless, and userfriendly
solution using a barcode-based authentication system. Unlike traditional vending
machines, this system ensures free and secure access to sanitary napkins for registered users.
The primary objectives of this project are to develop a compact and reliable dispensing
machine, automate the distribution process, and improve accessibility to sanitary products.
The system is designed for ease of installation, low maintenance, and user convenience.
For implementation, the machine is powered by a Raspberry Pi 4 Model B, controlling a
motor-driven dispensing mechanism. The user scans a barcode (student ID), which is verified
against a database of registered users stored in a CSV file. Upon successful authentication, the
system activates the motorized dispensing unit, allowing users to collect a sanitary pad. The
hardware includes a DC geared motor, a webcam for barcode scanning, and a 3D-printed drive
disc. Software development involved Python programming with OpenCV for barcode
recognition and GPIO control for motor operation. The results show that the vending machine
successfully dispenses sanitary napkins upon valid barcode authentication. The system
ensures accurate tracking of usage, reducing misuse while maintaining ease of access.
However, the machine requires a stable power source and regular restocking to ensure
continuous availability. Future enhancements may include real-time inventory monitoring
using sensors and remote access for administrators to track stock levels.
In conclusion, this project demonstrates a practical and scalable approach to improving
menstrual hygiene accessibility through automation. By integrating barcode-based
authentication, the system provides a discreet, efficient, and reliable method for dispensing
sanitary napkins in educational institutions.2025-01-01T00:00:00Z