IntermediateEngineering trackUS-CP-35

Precision Agriculture Yield Map from Satellite & Soil Data

Internship role: Ag Data Science Intern. Build NDVI time series for Midwest fields, correlate with soil zones and produce a variable-rate prescription map with projected input savings.

10 Guided Steps480h Internship TierSubmit: GitHub repo or evidence pack + live demo / report + README + milestone logbookVerified CertificateAI Rubric Graded

Program Overview

Internship role: Ag Data Science Intern. Build NDVI time series for Midwest fields, correlate with soil zones and produce a variable-rate prescription map with projected input savings.

What you submit

GitHub repo or evidence pack + live demo / report + README + milestone logbook

Stack: Python, Sentinel-2, USDA soil data, rasterio

How it is graded

Signals: Milestone gates met; measurable result reported; documentation; deployment or evidence reachable; reflective log

Functionality & requirements30
Technical quality & architecture25
Documentation15
Deployment & evidence15
Innovation10
Presentation5

Pass 60% · Merit 75% · Distinction 90%

Learning Outcomes

480-hour United States programme. Deere, Corteva and co-ops run agtech internship programmes centred on exactly this workflow.

Target Audience

Engineering Students

Diploma, B.Tech, B.E., BCA, MCA, or M.Tech students seeking practical experience.

Aspiring Developers

Developers who want to build proof-of-work capstone projects for tech resumes.

Job Seekers

Graduates looking for AI-evaluated code review & verified industry credentials.