Resources

Everything you can get from HSAT.

Timely signals from the field, in-depth crop and commodity reports, and direct conversations with the HSAT analysts behind the data.

Alerts & notifications

Know before the news does.

Free, real-time push notifications from CropGPT. Monitored 24/7, delivered over WhatsApp the moment weather threatens a crop in a region you follow.

Reports & data

Download our latest work.

Free crop reports, white papers and methodology briefings — written by the HSAT team and drawn from the same data we sell to institutional traders.

Interactive briefing New

The 2026 El Niño.

A major El Niño event is forecast to peak between October 2026 and February 2027. Crop-by-crop exposure across sugar, rice, palm oil, coffee, cocoa and maize — plus immediate, short-term and strategic actions for procurement teams.

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Interactive briefing New

The fertiliser crisis.

Four simultaneous supply shocks are reshaping global crop markets. Read the 2026 briefing on where the risk sits, which countries are exposed, and model real yield loss for your crops with our Fertiliser Disruption Yield Impact calculator.

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Briefing · PDF New

Iran Conflict & Fertiliser Crisis.

A procurement-grade briefing on the 2026 supply disruption across every major commodity — wheat, maize, cotton, sugar. Where the 35% of seaborne fertiliser has gone, the cost and yield impacts arriving now and in Q3–Q4, and what to treat as Category 1 risk.

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Briefing · PDF New

Iran Crisis — Cocoa, Ivory Coast.

Findings from hundreds of farmer interviews across Nawa, Agneby Tiassa and Sud Comoé. 97% of farmers report fertiliser access challenges; 73% have bought nothing at all. What that means for the 2027 crop, crop-level sensitivity, and the indirect risks that matter even where nitrogen exposure is low.

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Briefing · PDF New

Iran Crisis — Cocoa, Ghana.

A first-hand read from Ghana's cocoa belt, drawn from direct interviews with growers in Twi and English. Why the phosphate-potassium blend mix insulates Ghana from the direct nitrogen shock — and where the second-order risks to 2027 supply sit. First in an ongoing monthly series.

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Whitepaper · 01

HSAT — Approach to Data.

Why we chose the signals we chose, how we reconcile them at the field level, and what "ground truth" actually means when you collect it in forty-two countries every week.

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Whitepaper · 02

HSAT — Input Variable Selection.

How we choose variables, the guardrails that stop feature-set bloat, and the discipline that keeps a twenty-year back-test honest when you have thousands of candidate signals.

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Whitepaper · 03

HSAT — Ensuring Accurate Models.

The definition of "accurate" we hold ourselves to, why a 95% headline average isn't a model guarantee, and how we publish the worst-case error for every commodity we cover.

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Whitepaper · 04

HSAT — Dealing with Adaptive Bias.

Why models that looked good yesterday can fail tomorrow, how we monitor for regime change in input distributions, and the explicit protocol for retraining when the underlying process shifts.

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Whitepaper · 05

HSAT — In-sample vs Out-of-sample.

The validation protocol: walk-forward testing, how we hold out seasons, the statistics we publish alongside every forecast, and what we do when a model fails a held-out season.

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Whitepaper · 06

HSAT — Forecast vs Nowcast.

Why HSAT's forecasts differ from the crop estimates conventional commodity analysts publish, what a nowcast can and cannot tell you, and why the distinction matters months before a harvest begins.

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