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Crop Yield Prediction Based on Weather Conditions in Rizal Province -…
Crop Yield Prediction Based on Weather Conditions in Rizal Province
Problem
Need for accurate yield prediction tools
Unpredictable weather changes affecting crop yield
Limited use of data-driven farming decisions
Crop losses due to poor weather forecasting
Objectives
Unpredictable weather changes/conditions affecting crop yield
Helping local farmers to make decisions
Reduce crop losses
Improve agricultural productivity in Rizal Province
Target Users
Farmers
Local Government Units
Agricultural Researchers
Department of Agriculture
Features
Weather Data Input
Crop Yield prediction dashboard
Historical Data Analysis
Visualizaiton Reports
Decision Support Recommendations
Benefits
Improved farming decisions
Increased crop productivity
Reduced agricultural risks
Better resource allocation
Supports sustainable farming
Sustainable Development Goals
SDG 2: Zero Hunger
SDG 9: Industry, Innovation and Infrastructure
SDG 13: Climate Action