RachelJoy92/Crop-Yield-Prediction-and-Precision-Agriculture-in-Isoko-North-LGA-Delta-State-using-GEE-and-Colab

Domaine:

agriculturegeospatial

Type de record:

project

Créateur:

Rac

Hôte:

This project integrates Google Earth Engine (GEE) and Google Colab to predict crop yield using satellite-derived vegetation indices and machine learning. # Crop-Yield-Prediction-and-Precision-Agriculture-in-Isoko-North-LGA-Delta-State-using-GEE-and-Colab This project integrates Google Earth Engine (GEE) and Google Colab to predict crop yield using satellite-derived vegetation indices and machine learning.

Environmental assessments of floodwater infiltration in boreholes in Isoko North LGA and Environs, Delta State, Nigeria: A GIS and AHP based approach

The environmental effect of flood infiltration in boreholes and wells were examined in this study, w

energie2/Leveraging-IoT-and-ANN-for-Soil-Health-Monitoring-and-Crop-Prediction-in-Precision-Agriculture-

The data contain codes for data preparation and data exploratory for IoT, and ANN and raw data from

Remote Sensing in North African Agriculture: Monitoring Crop Health and Yield Potential

Remote sensing technology has been increasingly adopted in agriculture to monitor crop heal

MACHINE LEARNING-BASED APPROACHES TO IMPROVE CROP YIELD PREDICTION IN AGRICULTURE IN ADAMAWA STATE, NIGERIA

Accurate yield forecasting is critical for sustainable agriculture in developing countries like Nige

Multiple seasons spatialy distributed maize yield and soil properties data for crop modeling applications in precision agriculture

This data was collected from a data-intensive farm management (DIFM) maize trial in Hen

Enhancing Crop Yield Prediction Using Machine Learning and Geospatial Data

This study presents a geospatially informed machine learning approach to improve crop yield predicti