A newer version of the Gradio SDK is available:
4.36.1
Crop Recommendation
Harnessing the capabilities of machine learning models, analyzes specific parameters to suggest the most suitable crops, optimizing yields and efficiency.
Demo
Input Interface
Output Interface
Data Source
This dataset contains information about the soil and environmental conditions that are ideal for growing different crops. The dataset includes the following columns:
N
: The ratio of nitrogen content in the soil.P
: The ratio of phosphorus content in the soil.K
: The ratio of potassium content in the soil.Temperature
: The temperature in degrees Celsius.Humidity
: The relative humidity in percent.pH
: The pH value of the soil.Rainfall
: The rainfall in millimeters.
Link for the dataset
Supported crops
- Apple
- Blueberry
- Cherry
- Corn
- Grape
- Pepper
- Orange
- Peach
- Potato
- Soybean
- Strawberry
- Tomato
- Squash
- Raspberry
Project Details
This is repository is submodule for CropGaurd