Agricultural AI Researcher · Nepal 🇳🇵

Pratik
Ghimire

Building machine learning and computer vision systems for real agricultural challenges — from crop yield prediction and remote sensing to robotics and precision farming.

Precision Agriculture Remote Sensing Computer Vision Crop Yield Prediction Drone Data Processing Robotics & IoT Climate-Smart Farming Deep Learning
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Pratik Ghimire
3.56
GPA
5+
Projects
2×
Awards
IELTS 7.0
English Proficiency
About Me
Agricultural Engineer
meets AI Researcher

I graduated with a Bachelor's in Agricultural Engineering from Tribhuvan University, Institute of Engineering (First Division — 3.56 GPA international equivalent) and have been working at the intersection of machine learning, computer vision, and climate-smart farming ever since.

My work focuses on building AI systems that address real agricultural challenges in Nepal — where data is scarce, climate is variable, and the stakes for farmers are high. I believe technology should be grounded in field reality, not just benchmarks.

My research on meteorology-driven crop yield prediction was presented at ICRTAI 2025. I also completed a research internship at CREEW working on climate impacts on crop phenology and spatial data analysis using QGIS.

Currently seeking MS/PhD opportunities in AI for Agriculture, Precision Agriculture, and Remote Sensing.

Python XGBoost YOLOv5 TensorFlow QGIS Pix4D Remote Sensing Streamlit Arduino AquaCrop
3.56
GPA (International Equivalent)
7.0
IELTS Band Score
ICRTAI
Conference Presentation 2025
1st
Delta 4.0 National Technical Festival
HULT
Prize Eastern Region Winner + Mumbai
Work
Featured Projects
Machine Learning · Final Year Project
🌽

Crop Yield Prediction — Nepal

📄 Presented at ICRTAI 2025

Full ML pipeline predicting district-level crop yields across Nepal using NASA POWER meteorological data and MoALD agricultural statistics. XGBoost outperformed all other models. Deployed as a live Streamlit web app.

XGBoost Python Streamlit NASA POWER Scikit-learn
View Project → GitHub
Deep Learning · Computer Vision
🤖

Deep Learning & Computer Vision

🏆 UIUC AI Foundry Hackathon 2025

A collection of computer vision projects for agriculture: YOLOv5-based coffee leaf nutrient deficiency detection (N/P/K), CNN-based potato disease classification, and a livestock monitoring system with pose estimation for cattle tracking.

YOLOv5 TensorFlow CNN OpenCV Roboflow
GitHub →
Remote Sensing · Geospatial
🛸

RGB Drone Data Processing Pipeline

🗺️ Pix4D · QGIS · Vegetation Mapping

Hands-on RGB drone data processing — from raw imagery through Pix4D photogrammetry to QGIS vegetation analysis. Computed the Excess Green Index (ExG = 2G − R − B) to generate vegetation-focused maps by isolating plant pixels from soil. A 10-hour deep dive that bridged concept to real pipeline.

Pix4D QGIS Remote Sensing Vegetation Index Drone
GitHub →
Agricultural Engineering · Hardware
🌾

Manual Rice Transplanter

🥇 1st — Delta 4.0 · HULT Prize Eastern Region

Designed, fabricated, and field-tested a manual rice transplanter from scratch. Won 1st prize at the Delta 4.0 National Technical Festival and HULT Prize Eastern Region, then selected for the international round in Mumbai.

Agricultural Engineering AutoCAD Fabrication Field Testing
View on LinkedIn →
Publications & Output
Research
Conference Paper · 2025
Meteorology-Driven Crop Yield Prediction in Nepal: A Regression Approach
International Conference on Recent Trends in Artificial Intelligence (ICRTAI 2025)
▶ View Project Demo →
Research Internship · Jan 2025
Climate Impact on Crop Phenology & Spatial Data Analysis
Centre of Research for Environment, Energy and Water (CREEW) · Co-authored Mechanization Handbook
View on LinkedIn →
Certification · 2025
AI Foundry — Agriculture Track
University of Illinois Urbana-Champaign (UIUC)
View Project Repository →
Toolkit
Skills & Tools

Languages

  • Python
  • C

Machine Learning

  • XGBoost
  • Random Forest
  • SVR, Ridge, Lasso
  • Feature Engineering
  • Scikit-learn

Deep Learning & CV

  • YOLOv5
  • TensorFlow / Keras
  • CNN
  • OpenCV
  • Roboflow

Geospatial & Remote Sensing

  • QGIS
  • Pix4D Mapper
  • Drone Data Processing
  • Vegetation Indices
  • AquaCrop

Deployment & Dev

  • Streamlit
  • GitHub
  • Google Colab
  • Arduino & IoT

Domain Knowledge

  • Irrigation Engineering
  • Soil & Water Conservation
  • Farm Mechanization
  • AutoCAD
Journey
Experience
Aug 2025 – Present
Robotics & IoT Educator
Beyond Apogee
Teaching robotics, Python programming, sensor integration, Arduino microcontrollers, and computer vision basics to students up to Grade 12.
Jan 2025
Research Intern
CREEW — Centre of Research for Environment, Energy and Water
Worked on climate impact on crop phenology, spatial data analysis using QGIS, and co-authored a mechanization handbook for Nepal.
View post →
2023 – 2024
Secretary
National Agricultural Engineering Students' Society (NAESS)
Led student coordination, events, and outreach for the national agricultural engineering student body.
2023 – 2024
Board Member — External Relations
IAAS Nepal
Managed international partnerships and external communications for the Nepal chapter of the International Association of Agricultural Students.
Recognition
Awards & Honours
🥇

Delta 4.0 National Technical Festival

1st Place — Manual Rice Transplanter · 2024

🥇

HULT Prize Eastern Region

1st Place — Business Pitch Competition · 2024

🌍

HULT Prize International Round

Selected for Mumbai · 2024

🎓

AI Foundry Certification

Agriculture Track · UIUC · 2025

🌐

ASABE Member

American Society of Agricultural & Biological Engineers

Let's Talk
Get in Touch

I'm actively looking for graduate research assistantships in AI for Agriculture, Precision Agriculture, and Remote Sensing. Open to collaborations and conversations.

✉ Email Me LinkedIn GitHub