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Post-Harvest & Food Processing

Post-harvest science targets the gap between farm-gate yield and food on the plate: handling, drying, cooling, storage, packaging, processing and value addition. It integrates food engineering, microbiology, HACCP and supply-chain analytics to reduce loss and waste.

FAO Save FoodHACCPCodexCold chain
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Default learning track

4 phases · ~16–22 weeks

A baseline path through this sector with milestones, prerequisites, and concrete projects. Click Personalize this roadmap above to have the AI tailor pace, depth, and resources to your background and goals.

1

Phase 1 — Foundations

3–4 weeks 30–40 hours

Build the conceptual and quantitative base needed to read papers and follow tutorials in the sector.

Prerequisites

  • Comfortable with basic biology / health-science vocabulary
  • Ability to install software and use a terminal

Skills you'll build

Python or R basicsLinux shellGit/GitHubReading scientific literature

Hands-on projects

Reproducible analysis notebook

Walk through a published tutorial in HACCP + R for shelf-life modelling and reproduce its results on the provided sample data.

Deliverable: GitHub repo with a Jupyter/Quarto notebook, environment.yml, and README

Milestones

  • Set up reproducible Conda/Mamba environment and a public GitHub repo
  • Read and summarize 3 review papers covering the sector landscape
  • Complete an intro statistics or scripting course end-to-end
Citation · documentation
FAO Save Food — Food Loss and Waste
FAO
Why: Exact sector match (Post-Harvest & Food Processing)
Dataset · dataset
FAO Food Loss and Waste Database
FAO
Why: Exact sector match (Post-Harvest & Food Processing)
2

Phase 2 — Core tools & datasets

4–6 weeks 60–80 hours

Learn the standard analytical stack of the sector and the canonical public datasets used by professionals.

Prerequisites

  • Completed Phase 1 reproducible notebook
  • Working Python/R environment

Skills you'll build

HACCP + R for shelf-life modellingData wranglingQC & exploratory analysisVersion-controlled pipelines

Hands-on projects

Dataset deep-dive on FAO Food Loss and Waste Database + Codex Alimentarius standards

Pick one study from FAO Food Loss and Waste Database + Codex Alimentarius standards, reproduce the headline result, and write a short technical note on what you found.

Deliverable: GitHub repo + 3-page PDF write-up

Milestones

  • Run the official HACCP + R for shelf-life modelling tutorial end-to-end on real data
  • Download and explore one full dataset from FAO Food Loss and Waste Database + Codex Alimentarius standards
  • Document a clean QC + analysis pipeline that another person could rerun
Citation · documentation
Codex Alimentarius standards
FAO / WHO Codex
Why: Exact sector match (Post-Harvest & Food Processing)
Dataset · dataset
FAO Food Loss and Waste Database
FAO
Why: Exact sector match (Post-Harvest & Food Processing)
3

Phase 3 — Applied projects

6–8 weeks 80–120 hours

Move from tutorials to original analyses on real questions. Start showing your work publicly.

Prerequisites

  • Phase 2 dataset deep-dive complete
  • Comfortable with the sector's primary tooling

Skills you'll build

End-to-end pipeline designStatistical interpretationScientific writingReproducible reports

Hands-on projects

Commodity loss-reduction plan

Map the post-harvest chain of one commodity in one region, quantify losses and propose a costed intervention.

Deliverable: Loss-map diagram + cost-benefit analysis + 4-page brief

Milestones

  • Ship one original mini-analysis on a public dataset with clearly stated hypothesis and limitations
  • Engage with the IFT (Institute of Food Technologists) and FAO Save Food network (post a question, answer one, or share a notebook)
  • Get peer feedback on at least one project and iterate
Citation · training
HACCP training — FAO/WHO resources
FAO
Why: Exact sector match (Post-Harvest & Food Processing)
Dataset · dataset
FAO Food Loss and Waste Database
FAO
Why: Exact sector match (Post-Harvest & Food Processing)
4

Phase 4 — Portfolio & career launch

3–5 weeks 30–50 hours

Package your work, target real roles, and prepare to interview in the sector.

Prerequisites

  • Phase 3 capstone project shipped
  • 2+ public repos under version control

Skills you'll build

Technical CVPortfolio siteInterview prep (case studies + technical questions)Networking

Hands-on projects

Job-ready portfolio package

Curate 2–3 of your strongest sector projects into a portfolio site with clear case-study writeups, plus a 1-page CV tailored to the target role.

Deliverable: Live portfolio URL + PDF CV + cover letter template

Milestones

  • Publish a portfolio site or pinned GitHub README linking to 2–3 projects
  • Tailor CV to 3 real job ads in the sector and submit applications
  • Practice 5 mock technical interviews with sector-specific case studies
Citation · training
Postharvest Technology Center (UC Davis)
UC Davis
Why: Exact sector match (Post-Harvest & Food Processing)
Dataset · dataset
FAO Food Loss and Waste Database
FAO
Why: Exact sector match (Post-Harvest & Food Processing)

Curated learning resources

Verified, canonical resources from the official providers in this sector. The AI roadmap builder draws from this same library when it personalizes your roadmap.

Courses

Coursera · Food & Beverage Management
Coursera · Bocconi Univ.
Python for Everybody
Coursera · Univ. of Michigan
LinkedIn Learning paths
LinkedIn

Trainings

HACCP training — FAO/WHO resources
FAO
Postharvest Technology Center (UC Davis)
UC Davis
Software Carpentry lessons
The Carpentries
Kaggle Learn
Kaggle

Documentations

FAO Save Food — Food Loss and Waste
FAO
Codex Alimentarius standards
FAO / WHO Codex
EU Food Safety — Farm to Fork
European Commission
Git & GitHub fundamentals
GitHub Docs

Datasets

FAO Food Loss and Waste Database
FAO

Books

R for Data Science (2e)
Hadley Wickham et al.

Communitys

IFT — Institute of Food Technologists
IFT

Typical career paths

Post-Harvest Specialist

Designs storage, cold-chain and drying systems for commodities, often with FAO/NGO partners.

Food Process / Quality Engineer

Runs HACCP-compliant processing lines and develops value-added products.

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