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Ayomide Oraegbu
Ayomide Oraegbu

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Published in CodeX

·Mar 6, 2021

Advanced Machine Learning Techniques for Predicting Maize Crop Yield using Sentinel-2 Satellite Imagery

Introduction Prediction of within-field crop variability can support farmers to make the right decisions in different situations. The current advances in remote sensing and the availability of high resolution, high frequency, and free Sentinel-2 imageries improve the implementation of Precision Agriculture for a broader range of farmers. The aim of this…

15 min read

Advanced Deep Learning Techniques for Predicting Maize Crop Yield using Sentinel-2 Satellite…
Advanced Deep Learning Techniques for Predicting Maize Crop Yield using Sentinel-2 Satellite…

Dec 25, 2020

Getting Started Predicting Forest Fire Size using Deep Learning

The nature of wildfire is much more alarming than people can imagine. While companies and government are busy taking things to the internet, State of the Art technology could be used in containing the situation. This definitely would result to saving lives and properties. Data and AI over the years…

Getting Started

9 min read

Getting Started Predicting Forest Fire Size using Deep Learning
Getting Started Predicting Forest Fire Size using Deep Learning
Ayomide Oraegbu

Ayomide Oraegbu

Self-motivated Data Scientist and Geospatial Developer with experience working with various forms of data. Experienced in using Python, SQL, R, among others.

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