Daniel Kim | Agricultural Systems Engineer at Agritecture Inc.

Summary

Agricultural Systems EngineerAgritecture Inc.

Fresno, CAJul 2021Present

Designed and implemented precision irrigation systems for over 15 large-scale farms, resulting in an average 25% reduction in water usage and 10-15% increase in crop yield.
Led the development of a new IoT sensor network for soil moisture and nutrient monitoring, improving data collection efficiency by 40% and enabling real-time decision-making.
Optimized farm machinery operational parameters through data analysis, reducing fuel consumption by 18% and increasing field efficiency by 12% across client operations.
Conducted advanced hydrologic modeling and spatial analysis using GIS tools to improve water distribution uniformity across 50,000+ acres.
Managed project budgets up to $500,000, consistently delivering projects 5-10% under budget and ahead of schedule.

Junior Agricultural EngineerValmont Industries

Omaha, NEJun 2017Jun 2021

Assisted in the design and testing of new pivot and linear irrigation systems, contributing to a 5% improvement in product efficiency for the 2020 product line.
Analyzed extensive field performance data for irrigation equipment, identifying critical areas for improvement that led to a 7% reduction in warranty claims over two years.
Developed detailed CAD models and engineering drawings for new irrigation components, speeding up prototyping cycles by 15% and supporting manufacturing processes.
Collaborated with cross-functional teams to integrate new control technologies into existing irrigation infrastructure, enhancing system automation capabilities.
Participated in field trials and data collection efforts for new product development, ensuring product robustness and compliance with industry standards.

Designed and implemented a fully automated IoT-based irrigation system for a prototype vertical farm, reducing water waste by 30% and nutrient runoff by 20%.
Integrated environmental sensors and machine learning algorithms to dynamically adjust watering schedules based on plant growth stages and real-time environmental data.
Developed a custom dashboard for real-time monitoring and control, improving operational efficiency by 25% for urban agriculture applications.

Drought-Resilient Crop Management Platform

Jan 2020Jun 2021

Developed a data-driven platform to optimize irrigation schedules for drought-prone regions, achieving a 15% improvement in water use efficiency across pilot farms.
Utilized satellite imagery and on-ground sensor data to create predictive models for soil moisture and crop stress, enabling proactive water management decisions.
Authored comprehensive user guides and conducted training for farm managers on platform usage and best practices for water conservation.

University of California, DavisPh.D., Agricultural & Biological Engineering

Davis, CASep 2017Jun 2021

Dissertation: "Optimizing Micro-irrigation Systems for Drought-Resilient Crop Production"
Awarded University Fellowship for outstanding research potential
GPA: 3.9/4.0

Cornell UniversityB.S., Biological Systems Engineering

Ithaca, NYSep 2013May 2017

Optimizing Sprinkler Irrigation Uniformity through Hydraulic Modeling and Nozzle Selection

Jul 2019D. Kim, J. Miller

Agricultural Systems

Precision AgricultureIrrigation System Design (Drip, Sprinkler, Pivot)Water ManagementSoil ScienceCrop PhysiologySustainable Farming Practices

Software & Tools

AutoCADSolidWorksArcGISMATLABPython (Pandas, NumPy, SciPy)RLabVIEW

Data Analysis & Modeling

Statistical ModelingPredictive AnalyticsRemote Sensing Data ProcessingMachine Learning (basics)Hydrologic ModelingData Visualization

Machinery Design & Engineering

Farm Equipment DesignCAD/CAMMechatronicsHydraulics & PneumaticsFEA (Finite Element Analysis)Prototyping

Field Operations & IoT

GPS/GNSSUAV Piloting (for data acquisition)Sensor IntegrationCrop MonitoringField Testing & ValidationIoT Devices