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Ghana Croplands Agronomy

Biophysical & Yield Measurements for Northern Ghana Maize

regression yield-prediction geospatial <100MB CC BY 4.0
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Description

Crop locations, leaf area index, leaf chlorophyll concentration, and yield for maize across three agroecological zones in northern Ghana (2020-2021). Data files are on Zenodo (doi:10.5281/zenodo.6632083); the linked page is the peer-reviewed ESSD data descriptor.

Quick Start

Python 
# Download the data files from Zenodo (CC BY 4.0):
#   https://doi.org/10.5281/zenodo.6632083
import pandas as pd
# df = pd.read_csv("ghana_croplands.csv")

Project Ideas

Mid-Season Yield Prediction

Predict end-of-season maize yield from mid-season biophysical parameters with a neural network.

Intermediate

Within-Field Uncertainty

Map yield-estimate uncertainty across fields to produce confidence intervals.

Advanced

Ethical Considerations

  • Aggregate precise farm locations before any republication to protect individual farmer data.