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Fadhili5/kilimo-shwari

Domaine:

agriculture

Type de record:

project
Créateur:
Fad
Hôte:
KILIMO SHWARI is designed to aid crop breeding programs and provide valuable insights to resource-poor farmers in Africa. Leveraging comprehensive datasets and advanced analysis techniques, this project aims to enhance agricultural productivity by delivering precise recommendations on crop suitability, soil health, and climate adaptability. **KILIMO SHWARI** is an Enterprise Breeding System (EBS) designed to aid crop breeding programs and provide valuable insights to resource-poor farmers in Africa. Leveraging comprehensive datasets and advanced analysis techniques, this project aims to enhance agricultural productivity by delivering precise recommendations on crop suitability, soil health, and climate adaptability. ## Project Objectives - **Integrate Comprehensive Data Sources**: Combine soil, climate, crop, water resources, and socioeconomic data to create a robust decision-support system. - **Crop Suitability Analysis**: Use detailed datasets to evaluate the suitability of different regions for various crops. - **Machine Learning Models**: Develop and deploy machine learning models to predict crop yields and identify optimal breeding strategies. - **Climate Analysis**: Analyze historical and projected climate data to understand its impact on crop productivity. - **Interactive Web Application**: Develop a user-friendly web application that allows farmers and breeders to access and interact with the data. ## Datasets 1. **Soil Data** - Comprehensive soil profiles including pH, nutrient levels, texture, and organic matter content. - Geographic distribution of different soil types. 2. **Climate Data** - Historical and projected weather data. - Temperature, rainfall, and humidity levels. link to the data: drive.google.com 3. **Crop Data** - Genotypic and phenotypic information of various crop varieties. - Yield data for different regions. 4. **Water Resources Data** - Information on surface and groundwater availability. - Details on existing irrigation infrastructure. link to the data source: africangroundwateratlas.org 5. **Socioeconomic Data** - Information on farmer demographics and farming practices. - Market access and economic conditions.