Agriculture Operations
Supply‑chain · decision horizons · fourteen models
Agricultural operations research asks how a farm, cooperative, or agri-food supply chain can allocate land, labor, water, seed, equipment, and time to produce food reliably, profitably, and sustainably — across horizons that stretch from a single day's tractor schedule to a decade-long infrastructure investment. This section presents fourteen canonical OR problems, each as a live interactive solver grounded in a real agricultural decision, organized along the supply-chain-function × decision-horizon taxonomy of Ahumada & Villalobos (2009).
Why agricultural OR matters
Scale of the problem · three anchor statistics
Decision framework
Four lenses on the same fourteen applications
The primary taxonomy of Ahumada & Villalobos (2009) decomposes agri-food planning along two axes: the supply-chain function (production, harvesting, storage, distribution) and the decision horizon (strategic, tactical, operational). Every application in this section occupies one cell. Dashed cells are honest gaps — decisions that exist in practice but are not yet modelled here.
The FAO sustainable food value chain framework follows the flow of value from agricultural inputs through production, processing, and distribution to the consumer. Our site currently covers the first, second, and fourth stages strongly; processing remains an open area (e.g., beverage, baking, milling optimization).
Precision agriculture wraps a closed-loop management cycle around every in-field operation: Sense (soil, weather, crop status) → Analyze (aggregate, predict) → Prescribe (variable-rate plan) → Apply (execute) → Monitor (validate, learn). Our current applications mostly sit in the Prescribe and Apply stages — the cycle shows the surrounding steps where telemetry and analytics complete the loop.
The FAO Climate-Smart Agriculture framework organizes interventions around three pillars: sustainably increasing productivity, building adaptation to climate change, and reducing greenhouse-gas emissions. Each application below may contribute to one or more pillars — the classification reflects the pillar most strongly advanced by the model.
Application catalog
All fourteen pages · click a card to open the interactive solver
Crop cycle timeline
The seasonal view · complementary to the decision matrix above
The same fourteen applications, laid out in the order they typically fire during an annual production cycle. Useful when the question is “what decisions am I making right now?” rather than “which OR problem family do I need?”.
1 · Strategic Planning
2 · Workforce Planning
3 · Planting Season
4 · Growing Season
5 · Harvest Season
6 · Post-Harvest
7 · Market & Sales
Current research frontiers
Where agricultural OR is actively evolving
Climate-adaptive planning under deep uncertainty
Distributionally robust and multi-stage stochastic formulations for long-horizon crop choice, irrigation, and insurance under shifting climate baselines (Ahumada & Villalobos 2009; FAO CSA Sourcebook).
Precision agriculture & variable-rate prescriptions
Coupling sensor data (UAV multispectral, soil-probe networks) with per-zone optimization for fertilizer, pesticide, and irrigation application — closing the Sense–Analyze–Prescribe–Apply–Monitor loop.
Circular & low-emission agri-food systems
Nutrient-recycling routing, manure valorization, reverse-logistics for food waste, and carbon-aware supply-chain design across farm, processor, and retailer (FAO sustainable food value chains).
Key references
Cited above · DOIs & permanent URLs