Crop Yield Prediction with Neural Networks marks a significant stride in precision agriculture by harnessing the power of neural networks to predict crop yields. Analyzing diverse agricultural data, the model forecasts crop production based on factors such as weather conditions, soil quality, and historical yield patterns. This application empowers farmers with valuable insights, enabling better resource management and strategic decision-making for optimized crop yields.
Software Requirements :-
1. Operating System: Win 7 or more
2. Programming Language: Python
Hardware Requirement :-
1. Processor-i3
2. Hard disk-5GB
3. Memory-2GB RAM