Arko007 / agromind-fertilizer-prediction

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Introduction of agromind-fertilizer-prediction

Model Details of agromind-fertilizer-prediction

AgroMind Fertilizer Prediction Model

Model Description

Scikit-learn classifier that predicts the most suitable fertilizer based on soil conditions, crop type, and environmental factors.

Framework
  • Library : scikit-learn
  • Format : pickle (.pkl)
  • Includes : classifier model + LabelEncoder for fertilizer names
Input Features
Feature Type
Temperature int (0–100)
Humidity int (0–100)
Moisture int (0–100)
Soil Type encoded int (Black=0, Clayey=1, Loamy=2, Red=3, Sandy=4)
Crop Type encoded int (Barley=0, Cotton=1, … Wheat=10)
Nitrogen int (0–100)
Potassium int (0–100)
Phosphorus int (0–100)
Usage
from huggingface_hub import hf_hub_download
import pickle, numpy as np

repo = "Arko007/agromind-fertilizer-prediction"
with open(hf_hub_download(repo, "classifier.pkl"), "rb") as f:
    clf = pickle.load(f)
with open(hf_hub_download(repo, "fertilizer.pkl"), "rb") as f:
    le = pickle.load(f)

features = np.array([[28, 65, 40, 2, 6, 50, 40, 30]])  # [temp, hum, mois, soil, crop, N, K, P]
pred_idx = clf.predict(features)
fertilizer = le.inverse_transform(pred_idx)
Output

Fertilizer name (string) via LabelEncoder inverse transform.

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agromind-fertilizer-prediction huggingface.co

agromind-fertilizer-prediction huggingface.co is an AI model on huggingface.co that provides agromind-fertilizer-prediction's model effect (), which can be used instantly with this Arko007 agromind-fertilizer-prediction model. huggingface.co supports a free trial of the agromind-fertilizer-prediction model, and also provides paid use of the agromind-fertilizer-prediction. Support call agromind-fertilizer-prediction model through api, including Node.js, Python, http.

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Arko007 agromind-fertilizer-prediction online free url in huggingface.co:

https://huggingface.co/Arko007/agromind-fertilizer-prediction

agromind-fertilizer-prediction install

agromind-fertilizer-prediction is an open source model from GitHub that offers a free installation service, and any user can find agromind-fertilizer-prediction on GitHub to install. At the same time, huggingface.co provides the effect of agromind-fertilizer-prediction install, users can directly use agromind-fertilizer-prediction installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

agromind-fertilizer-prediction install url in huggingface.co:

https://huggingface.co/Arko007/agromind-fertilizer-prediction

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Arko007
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