---
title: Forecasting Wheat Futures with Convolutional Neural Networks
url: https://www.ml-quant.com/papers/ssrn/4733370/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4733370
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4733370
featured: 2024-02-21
citations: 0
topic: Econometrics & Forecasting
---


# Forecasting Wheat Futures with Convolutional Neural Networks

The article uses a convolutional neural network to predict futures prices by analyzing aerial images of wheat fields and cloud cover, suggesting that unique algorithm and data choice can yield positive alpha in a short time frame.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4733370
- Identifier: SSRN 4733370
- Released: 2024-02-20
- First featured: Quant Letter No. 38 (2024-02-21): https://www.ml-quant.com/issues/2024-02-21/
- Citations (Semantic Scholar): 0
- Published in: not yet
- Topic: Econometrics & Forecasting

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