Vanakkam all – from ‘CubenSquare-PallikoodaM’
Ethiopia Agriculture & Red Hat OpenShift AI : Imagine a scenario of hashtagredhatopenshiftai helping Ethiopia agriculture, by providing the farmers with tools and insights they need to optimise, increase productivity . On the other hand, I am just thinking on the investment to be made to make this happen. While we have different product options, it’s about the specific requirement, prediction quality, results, security, future scalable product across different industries, enterprise solution.
🇪🇹 About Ethiopia :
Ethiopia, in the Horn of Africa, is a rugged, landlocked country split by the Great Rift Valley. With archaeological finds dating back more than 3 million years, it’s a place of ancient culture. Ethiopia is a country with a high rate of farming but low adoption of advanced technology – Mostly traditional.
Ethiopia continues to face challenges in its agricultural sector, at the same time efforts are being made to improve productivity and sustainability. The key issues include
👉 Waterlogging
👉 Salinity
👉 Soil acidity
👉 Parasitic weeds
👉 Problems with irrigation scheduling
What if ?
What if we implement Red Hat Openshift AI to address above issues in Ethiopia agriculture. This product can process large datasets from sensors and drones deployed in agriculture fields to monitor soil condition, crop health, weather patterns.
Machine Learning Models
Leverage the Machine learning models to get a effective and quality results through Red Hat Openshift AI
👉 ARIMA – Auto-Regressive Integrated Moving Average
👉 LSTM – Long Short-Term Memory
👉 Random Forest – Ensemble Methods
👉 Convolutional Neural Networks – Image Recognition
👉 YOLO – You Only Look Once
👉 Isolation Forest
👉 XGBoost
👉 Q-Learning – Reinforcement
Red Hat OpenShift AI :
The data from sensors and drones are fed into Red Hat OpenShift AI . AI Models can predict weather patterns, early signs of pest infestations, optimal time for planting and harvesting
Design a friendly mobile app to farmers to help feed all these data and which will make them take decisions accordingly and help in higher yields . Introducing such technologies would help farmers .