Mori Arathoon

Developing a prototype of a web-based, open-source crop monitoring and forecasting platform that helps farmers use satellite and LiDAR data to optimise production. Translating complex scientific data into practical insights to support farmers in improving fertilisation, irrigation, and stress management practices. Building an initial toolchain for prototype implementation (licensing, data visualisation) and supporting overall project coordination to ensure usability and scalability.

Provided live interpretation in German, English, and Japanese for international business meetings and webinars, supporting cross-cultural communication. Interpreted 400+ international business meetings and webinars for 200+ participants. Demonstrated adaptability, professionalism, and remote collaboration skills in high-pressure settings with international teams.

Assessed land quality in forest regions in Canada and supported sustainable forestry management using remote sensing data (e.g., satellite imagery, LiDAR) in ArcGIS. Classified and monitored land cover and land use, and assessed environmental risks. Supported asset valuation for green investment and carbon credit portfolios. Coordinated project activities using Asana and Notion, collaborating within an international remote team across diverse disciplines. Consulted with U.S. and Canadian authorities to e

Designed and implemented a database and web platform to provide key performance indicators (KPIs) for benchmarking and improving efficiency in horticultural businesses.

Developed a prototype hydroponic system using nutrient solutions derived from sustainable waste products. Designed the prototype with a focus on regions facing water scarcity in Kenya. Produced, measured, and analysed nutrient solutions to evaluate their effectiveness. Contributed to the final project report, guiding the interpretation of results and enabling the communication to the international scientific community.

Prepared experimental field plots using GIS data. Collected and processed soil and plant samples for further laboratory analysis

Assessed and advised on vegetable crop nutrition and plant protection practices. Supported logistics and marketing of agricultural products.

Project based training in Deep Learning, AI, GIS, Remote Sensing, Image Analysis, Python, R, and SQL.

Grade 1.7 (Good) Thesis: “Comparative analysis of Root Dynamics in Coffee Agroforestry Systems and Monoculture in Costa Rica”. On-site research with the University of Costa Rica Focus areas: GIS, Deep Learning, Image Analysis, Python, Sustainable Agriculture

Grade: 1.3 (very good) Focus: Precision and Sustainable Farming

Grade 1.6 (Good) Thesis: “Effects of Slurry Acidification on N₂O Emissions” Focus areas: Soil Science, Crop Production