ACORN

Alley Cropping Output and Revenue predictioN

ACORN is a digital decision‑support tool developed by ILVO and Agroforestry Flanders as part of the AFaktive and DigitAF projects . It helps farmers and advisors explore the possibilities of alley‑cropping systems and supports the transition towards more sustainable farming practices.

User manual:

English version | Nederlandse versie

Demo video:

English version | Nederlandse versie

Why this tool?

Agroforestry— and alley cropping in particular — is becoming increasingly relevant as farmers search for climate‑resilient and sustainable practices . Research has demonstrated positive effects on crop yield and quality, but the key question remains:

What does this mean for my farm?

ACORN translates experimental research data into farm‑level simulations, giving farmers practical insights when considering a transition to agroforestry.

Purpose of the tool

  • Simulate crop yields and quality over a ten‑year rotation after establishing an alley‑cropping system.
  • Compare crop performance between sole-cropping and alley‑cropping.
  • Estimate timber production after ten years from the tree rows.
  • Provide an economic comparison by combining crop and timber prices to assess potential losses and gains.
  • Allow farm‑level configuration , including field layout, tree‑row design, and tree species selection.

Workflow

The tool guides the user through a clear and intuitive workflow:

  1. Select the field configuration .
  2. Define the tree rows and choose the tree species .
  3. Set the ten‑year crop rotation .
  4. Run the simulation to calculate crop yields, quality, and timber production.
  5. Explore results through graphs and tables , including comparisons with sole-cropping systems.
  6. Export a report summarizing the outcomes with figures and explanatory text.

Crops and rotation

The tool simulates the yield and quality of five major crops — winter barley, winter wheat, silage maize, grain maize, and potato — over a ten‑year rotation .

It accounts for two types of effects caused by the tree rows:

  • Direct crop losses due to the area occupied by the tree rows.
  • Additional yield impacts resulting from tree–crop interactions (e.g., shading, competition for water or nutrients).

For each year in the rotation, the tool compares the simulated alley‑cropping yields with those of a sole cropping system. This allows users to quantify annual and cumulative economic losses linked to reduced crop production.

Crop Quality

In addition to yield, the tool also presents quality parameters :

  • Crude protein (%)
  • Starch content (%)
  • Thousand kernel weight (g)
  • Organic matter digestibility (%)

Tree species

Currently, the tool supports two tree species:

  • Standard tree species
  • Poplar
  • Walnut

The goal is to expand this list with additional species in future versions. For each supported species, the tool predicts timber production over the same ten‑year period . The total wood volume is divided into biomass wood and high‑quality wood, and each category is assigned a market value. This enables users to estimate the economic return from the woody component of the alley‑cropping system.

Economic value

By combining crop losses, timber production, and market prices, the tool generates a clear economic comparison between sole-cropping and alley‑cropping systems.

  • Financial losses due to reduced crop yields
  • Financial gains from timber production
  • The net economic balance over a ten‑year period

This integrated economic assessment helps farmers and advisors understand the trade‑offs and long‑term profitability of adopting alley‑cropping practices.

Target audience

This tool is intended for:

  • Advisors guiding farms in the transition to agroforestry.
  • Farmers seeking insight into crop yield, quality, and economic outcomes in an alley‑cropping system.

Scientific basis

The simulations are based on data from peer‑reviewed research and ongoing own empirical research :

  • Pardon, P., Quataert, P., Bracke, J. et al. (2025). Crop yield in young temperate alley cropping systems is affected by tree height, distance to trees and crop type, while impacts on crop quality remain limited. Agroforest Syst 99, 162. DOI link
  • Pardon, P., Reubens, B., Mertens, J., Verheyen, K., De Frenne, P., De Smet, G., … Reheul, D. (2018). Effects of temperate agroforestry on yield and quality of different arable intercrops. Agricultural Systems, 166, 135–151. DOI link

Limitations and assumptions

The simulations are based on published experimental data (e.g. Pardon et al., 2018; Pardon et al., 2025). This means that certain assumptions are made.

Users should interpret results as indicative trends rather than exact predictions . The tool is designed to support exploration and comparison , not to replace detailed farm‑specific measurements .

Field design


Tip: Adjust polygon orientation

Click on any polygon edge to rotate the field. The clicked edge will be aligned to the left side of the screen. This lets you orient the field so it matches the fixed vertical tree rows.

When the field is correctly oriented, press the button below.

Crop rotation design


Simulate the Alley-Cropping System

Click the button below to start the simulation of the alley-cropping system.

The results are presented across three dedicated pages:

  • 📌 Crop & Tree Yield – annual yields for each crop and tree species
  • 📌 Quality Parameters – yearly quality indicators for each crop
  • 📌 Economic Output – economic valuation of wood and crop production


Alley-cropping Yield


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Quality parameters



Quality parameters

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Economic output


Total economic result

for the field plot for the 10 years after transition

Economic value of wood


Economic losses from crops