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Browse files- app.py +58 -0
- crop_recommendation_model.joblib +3 -0
- requirements.txt +6 -0
- static/css/style.css +5 -0
- templates/index.html +469 -0
app.py
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from flask import Flask, render_template, request, jsonify
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import joblib
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import numpy as np
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import os
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app = Flask(__name__)
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# Load model at startup
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MODEL_PATH = 'crop_recommendation_model.joblib'
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model = None
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if os.path.exists(MODEL_PATH):
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model = joblib.load(MODEL_PATH)
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FEATURE_INFO = {
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'N': {'label': 'Nitrogen (N)', 'unit': 'kg/ha', 'min': 0, 'max': 300, 'step': 1, 'placeholder': 'e.g. 175'},
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'P': {'label': 'Phosphorus (P)', 'unit': 'kg/ha', 'min': 0, 'max': 150, 'step': 1, 'placeholder': 'e.g. 36'},
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'K': {'label': 'Potassium (K)', 'unit': 'kg/ha', 'min': 0, 'max': 300, 'step': 1, 'placeholder': 'e.g. 216'},
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'ph': {'label': 'pH Level', 'unit': '', 'min': 0, 'max': 14, 'step': 0.01, 'placeholder': 'e.g. 5.9'},
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'EC': {'label': 'Electrical Cond.', 'unit': 'dS/m', 'min': 0, 'max': 5, 'step': 0.01, 'placeholder': 'e.g. 0.15'},
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'S': {'label': 'Sulfur (S)', 'unit': 'mg/kg', 'min': 0, 'max': 50, 'step': 0.01, 'placeholder': 'e.g. 0.28'},
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'Cu': {'label': 'Copper (Cu)', 'unit': 'mg/kg', 'min': 0, 'max': 50, 'step': 0.01, 'placeholder': 'e.g. 15.69'},
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'Fe': {'label': 'Iron (Fe)', 'unit': 'mg/kg', 'min': 0, 'max': 300, 'step': 0.01, 'placeholder': 'e.g. 114.20'},
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'Mn': {'label': 'Manganese (Mn)', 'unit': 'mg/kg', 'min': 0, 'max': 200, 'step': 0.01, 'placeholder': 'e.g. 56.87'},
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'Zn': {'label': 'Zinc (Zn)', 'unit': 'mg/kg', 'min': 0, 'max': 100, 'step': 0.01, 'placeholder': 'e.g. 31.28'},
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'B': {'label': 'Boron (B)', 'unit': 'mg/kg', 'min': 0, 'max': 100, 'step': 0.01, 'placeholder': 'e.g. 28.62'},
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}
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FEATURES = ['N', 'P', 'K', 'ph', 'EC', 'S', 'Cu', 'Fe', 'Mn', 'Zn', 'B']
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@app.route('/')
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def index():
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return render_template('index.html', features=FEATURES, feature_info=FEATURE_INFO)
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@app.route('/predict', methods=['POST'])
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def predict():
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if model is None:
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return jsonify({'error': 'Model not loaded. Please ensure crop_recommendation_model.joblib exists.'}), 500
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try:
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values = [float(request.form.get(f, 0)) for f in FEATURES]
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prediction = model.predict([values])
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crop = prediction[0]
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# Get probabilities if available
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proba = None
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if hasattr(model, 'predict_proba'):
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proba_arr = model.predict_proba([values])[0]
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classes = model.classes_
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top3_idx = proba_arr.argsort()[-3:][::-1]
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proba = [{'crop': str(classes[i]), 'prob': round(float(proba_arr[i]) * 100, 1)} for i in top3_idx]
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return jsonify({'crop': str(crop), 'top3': proba})
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except Exception as e:
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return jsonify({'error': str(e)}), 400
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if __name__ == '__main__':
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app.run(debug=True)
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crop_recommendation_model.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:68bbd19c2e6a03707f3e703936c79be69fcf530312cf66aaad2d2e627fc2692d
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size 1879
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requirements.txt
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flask>=2.3
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scikit-learn>=1.3
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pandas>=2.0
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joblib>=1.3
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numpy>=1.24
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static/css/style.css
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#body {
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color: #e91010;
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}
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templates/index.html
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<!DOCTYPE html>
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| 2 |
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<html lang="en">
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| 3 |
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<head>
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| 4 |
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<meta charset="UTF-8" />
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| 5 |
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<meta name="viewport" content="width=device-width, initial-scale=1.0"/>
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| 6 |
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<title>CropSense β Soil Analysis & Crop Recommender</title>
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<link href="https://fonts.googleapis.com/css2?family=Playfair+Display:wght@700;900&family=DM+Mono:wght@400;500&family=DM+Sans:wght@300;400;500&display=swap" rel="stylesheet"/>
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<style>
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| 9 |
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:root {
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| 10 |
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--soil: #2c1a0e;
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--earth: #5c3d1e;
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--clay: #a0522d;
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| 13 |
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--wheat: #c8a96e;
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| 14 |
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--leaf: #4a7c59;
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--sprout: #7dba84;
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--sky: #e8f4ea;
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--cream: #fdf6ec;
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--ink: #1a1005;
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--mist: #f5efe6;
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}
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| 22 |
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*, *::before, *::after { box-sizing: border-box; margin: 0; padding: 0; }
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| 23 |
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| 24 |
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body {
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| 25 |
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font-family: 'DM Sans', sans-serif;
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| 26 |
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background: var(--cream);
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| 27 |
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color: var(--ink);
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| 28 |
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min-height: 100vh;
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| 29 |
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overflow-x: hidden;
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| 30 |
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}
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| 31 |
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| 32 |
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/* ββ BACKGROUND TEXTURE ββ */
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| 33 |
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body::before {
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| 34 |
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content: '';
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| 35 |
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position: fixed; inset: 0; z-index: 0;
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| 36 |
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background:
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| 37 |
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radial-gradient(ellipse 80% 60% at 10% 0%, rgba(74,124,89,0.08) 0%, transparent 60%),
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| 38 |
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radial-gradient(ellipse 60% 80% at 90% 100%, rgba(160,82,45,0.07) 0%, transparent 60%),
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| 39 |
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url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='60' height='60'%3E%3Ccircle cx='30' cy='30' r='1' fill='%235c3d1e' opacity='0.04'/%3E%3C/svg%3E");
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| 40 |
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pointer-events: none;
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| 41 |
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}
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| 42 |
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| 43 |
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.wrapper {
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| 44 |
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position: relative; z-index: 1;
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| 45 |
+
max-width: 960px;
|
| 46 |
+
margin: 0 auto;
|
| 47 |
+
padding: 2.5rem 1.5rem 4rem;
|
| 48 |
+
}
|
| 49 |
+
|
| 50 |
+
/* ββ HEADER ββ */
|
| 51 |
+
header {
|
| 52 |
+
display: flex;
|
| 53 |
+
align-items: flex-end;
|
| 54 |
+
gap: 1.2rem;
|
| 55 |
+
margin-bottom: 2.8rem;
|
| 56 |
+
padding-bottom: 1.6rem;
|
| 57 |
+
border-bottom: 2px solid rgba(92,61,30,0.12);
|
| 58 |
+
}
|
| 59 |
+
.logo-mark {
|
| 60 |
+
width: 52px; height: 52px;
|
| 61 |
+
background: var(--leaf);
|
| 62 |
+
border-radius: 14px;
|
| 63 |
+
display: grid; place-items: center;
|
| 64 |
+
font-size: 1.6rem;
|
| 65 |
+
box-shadow: 0 4px 18px rgba(74,124,89,0.3);
|
| 66 |
+
flex-shrink: 0;
|
| 67 |
+
}
|
| 68 |
+
header h1 {
|
| 69 |
+
font-family: 'Playfair Display', serif;
|
| 70 |
+
font-size: clamp(1.6rem, 4vw, 2.4rem);
|
| 71 |
+
font-weight: 900;
|
| 72 |
+
color: var(--soil);
|
| 73 |
+
line-height: 1;
|
| 74 |
+
}
|
| 75 |
+
header p {
|
| 76 |
+
font-size: 0.82rem;
|
| 77 |
+
color: var(--clay);
|
| 78 |
+
font-weight: 300;
|
| 79 |
+
margin-top: 0.3rem;
|
| 80 |
+
letter-spacing: 0.04em;
|
| 81 |
+
text-transform: uppercase;
|
| 82 |
+
}
|
| 83 |
+
|
| 84 |
+
/* ββ CARD ββ */
|
| 85 |
+
.card {
|
| 86 |
+
background: #fff;
|
| 87 |
+
border: 1.5px solid rgba(92,61,30,0.1);
|
| 88 |
+
border-radius: 20px;
|
| 89 |
+
padding: 2.2rem 2.4rem;
|
| 90 |
+
box-shadow: 0 8px 40px rgba(44,26,14,0.07);
|
| 91 |
+
}
|
| 92 |
+
|
| 93 |
+
.card-title {
|
| 94 |
+
font-family: 'Playfair Display', serif;
|
| 95 |
+
font-size: 1.05rem;
|
| 96 |
+
color: var(--earth);
|
| 97 |
+
margin-bottom: 1.6rem;
|
| 98 |
+
display: flex;
|
| 99 |
+
align-items: center;
|
| 100 |
+
gap: 0.6rem;
|
| 101 |
+
}
|
| 102 |
+
.card-title::before {
|
| 103 |
+
content: '';
|
| 104 |
+
display: block;
|
| 105 |
+
width: 20px; height: 3px;
|
| 106 |
+
background: var(--sprout);
|
| 107 |
+
border-radius: 2px;
|
| 108 |
+
}
|
| 109 |
+
|
| 110 |
+
/* ββ GRID ββ */
|
| 111 |
+
.fields-grid {
|
| 112 |
+
display: grid;
|
| 113 |
+
grid-template-columns: repeat(auto-fill, minmax(200px, 1fr));
|
| 114 |
+
gap: 1.1rem 1.4rem;
|
| 115 |
+
margin-bottom: 2rem;
|
| 116 |
+
}
|
| 117 |
+
|
| 118 |
+
.field {
|
| 119 |
+
display: flex;
|
| 120 |
+
flex-direction: column;
|
| 121 |
+
gap: 0.36rem;
|
| 122 |
+
}
|
| 123 |
+
.field label {
|
| 124 |
+
font-size: 0.76rem;
|
| 125 |
+
font-weight: 500;
|
| 126 |
+
color: var(--earth);
|
| 127 |
+
letter-spacing: 0.05em;
|
| 128 |
+
text-transform: uppercase;
|
| 129 |
+
}
|
| 130 |
+
.field-row {
|
| 131 |
+
display: flex;
|
| 132 |
+
align-items: stretch;
|
| 133 |
+
border: 1.5px solid rgba(92,61,30,0.18);
|
| 134 |
+
border-radius: 10px;
|
| 135 |
+
overflow: hidden;
|
| 136 |
+
transition: border-color 0.2s, box-shadow 0.2s;
|
| 137 |
+
}
|
| 138 |
+
.field-row:focus-within {
|
| 139 |
+
border-color: var(--leaf);
|
| 140 |
+
box-shadow: 0 0 0 3px rgba(74,124,89,0.12);
|
| 141 |
+
}
|
| 142 |
+
.field-row input {
|
| 143 |
+
flex: 1;
|
| 144 |
+
border: none; outline: none;
|
| 145 |
+
padding: 0.55rem 0.75rem;
|
| 146 |
+
font-family: 'DM Mono', monospace;
|
| 147 |
+
font-size: 0.88rem;
|
| 148 |
+
color: var(--ink);
|
| 149 |
+
background: transparent;
|
| 150 |
+
min-width: 0;
|
| 151 |
+
}
|
| 152 |
+
.field-row input::placeholder { color: #bbb; }
|
| 153 |
+
.unit-badge {
|
| 154 |
+
padding: 0 0.7rem;
|
| 155 |
+
background: var(--mist);
|
| 156 |
+
font-size: 0.68rem;
|
| 157 |
+
font-family: 'DM Mono', monospace;
|
| 158 |
+
color: var(--clay);
|
| 159 |
+
display: flex; align-items: center;
|
| 160 |
+
white-space: nowrap;
|
| 161 |
+
border-left: 1.5px solid rgba(92,61,30,0.1);
|
| 162 |
+
}
|
| 163 |
+
|
| 164 |
+
/* ββ ACTIONS ββ */
|
| 165 |
+
.actions {
|
| 166 |
+
display: flex;
|
| 167 |
+
gap: 1rem;
|
| 168 |
+
flex-wrap: wrap;
|
| 169 |
+
align-items: center;
|
| 170 |
+
}
|
| 171 |
+
|
| 172 |
+
.btn-predict {
|
| 173 |
+
font-family: 'DM Sans', sans-serif;
|
| 174 |
+
font-weight: 500;
|
| 175 |
+
font-size: 0.95rem;
|
| 176 |
+
padding: 0.75rem 2rem;
|
| 177 |
+
background: var(--leaf);
|
| 178 |
+
color: #fff;
|
| 179 |
+
border: none;
|
| 180 |
+
border-radius: 12px;
|
| 181 |
+
cursor: pointer;
|
| 182 |
+
letter-spacing: 0.03em;
|
| 183 |
+
transition: background 0.2s, transform 0.15s, box-shadow 0.2s;
|
| 184 |
+
box-shadow: 0 4px 14px rgba(74,124,89,0.3);
|
| 185 |
+
}
|
| 186 |
+
.btn-predict:hover { background: #3a6347; transform: translateY(-1px); box-shadow: 0 6px 20px rgba(74,124,89,0.35); }
|
| 187 |
+
.btn-predict:active { transform: translateY(0); }
|
| 188 |
+
.btn-predict:disabled { opacity: 0.6; cursor: not-allowed; transform: none; }
|
| 189 |
+
|
| 190 |
+
.btn-reset {
|
| 191 |
+
font-family: 'DM Sans', sans-serif;
|
| 192 |
+
font-size: 0.9rem;
|
| 193 |
+
padding: 0.75rem 1.4rem;
|
| 194 |
+
background: transparent;
|
| 195 |
+
color: var(--clay);
|
| 196 |
+
border: 1.5px solid rgba(92,61,30,0.2);
|
| 197 |
+
border-radius: 12px;
|
| 198 |
+
cursor: pointer;
|
| 199 |
+
transition: border-color 0.2s, color 0.2s;
|
| 200 |
+
}
|
| 201 |
+
.btn-reset:hover { border-color: var(--clay); color: var(--earth); }
|
| 202 |
+
|
| 203 |
+
.btn-sample {
|
| 204 |
+
font-size: 0.8rem;
|
| 205 |
+
color: var(--leaf);
|
| 206 |
+
background: none; border: none;
|
| 207 |
+
cursor: pointer;
|
| 208 |
+
text-decoration: underline;
|
| 209 |
+
text-underline-offset: 3px;
|
| 210 |
+
margin-left: auto;
|
| 211 |
+
}
|
| 212 |
+
.btn-sample:hover { color: var(--soil); }
|
| 213 |
+
|
| 214 |
+
/* ββ RESULT ββ */
|
| 215 |
+
#result-section {
|
| 216 |
+
display: none;
|
| 217 |
+
margin-top: 1.8rem;
|
| 218 |
+
}
|
| 219 |
+
#result-section.show { display: block; animation: fadeUp 0.4s ease; }
|
| 220 |
+
|
| 221 |
+
@keyframes fadeUp {
|
| 222 |
+
from { opacity: 0; transform: translateY(12px); }
|
| 223 |
+
to { opacity: 1; transform: translateY(0); }
|
| 224 |
+
}
|
| 225 |
+
|
| 226 |
+
.result-banner {
|
| 227 |
+
display: flex;
|
| 228 |
+
align-items: center;
|
| 229 |
+
gap: 1.2rem;
|
| 230 |
+
background: linear-gradient(135deg, var(--leaf) 0%, #3a6347 100%);
|
| 231 |
+
color: #fff;
|
| 232 |
+
padding: 1.4rem 1.8rem;
|
| 233 |
+
border-radius: 16px;
|
| 234 |
+
box-shadow: 0 8px 28px rgba(74,124,89,0.28);
|
| 235 |
+
}
|
| 236 |
+
.crop-icon { font-size: 2.6rem; }
|
| 237 |
+
.crop-label { font-size: 0.75rem; opacity: 0.8; text-transform: uppercase; letter-spacing: 0.08em; }
|
| 238 |
+
.crop-name {
|
| 239 |
+
font-family: 'Playfair Display', serif;
|
| 240 |
+
font-size: 2rem;
|
| 241 |
+
font-weight: 900;
|
| 242 |
+
line-height: 1.1;
|
| 243 |
+
text-transform: capitalize;
|
| 244 |
+
}
|
| 245 |
+
|
| 246 |
+
.top3 {
|
| 247 |
+
margin-top: 1.1rem;
|
| 248 |
+
display: flex;
|
| 249 |
+
gap: 0.8rem;
|
| 250 |
+
flex-wrap: wrap;
|
| 251 |
+
}
|
| 252 |
+
.top3-item {
|
| 253 |
+
background: var(--mist);
|
| 254 |
+
border: 1px solid rgba(92,61,30,0.1);
|
| 255 |
+
border-radius: 10px;
|
| 256 |
+
padding: 0.5rem 0.9rem;
|
| 257 |
+
font-size: 0.82rem;
|
| 258 |
+
}
|
| 259 |
+
.top3-item .t3-crop {
|
| 260 |
+
font-weight: 500;
|
| 261 |
+
text-transform: capitalize;
|
| 262 |
+
color: var(--soil);
|
| 263 |
+
}
|
| 264 |
+
.top3-item .t3-bar-wrap {
|
| 265 |
+
height: 4px; background: #e0d8cc;
|
| 266 |
+
border-radius: 2px; margin-top: 0.3rem;
|
| 267 |
+
overflow: hidden;
|
| 268 |
+
}
|
| 269 |
+
.top3-item .t3-bar {
|
| 270 |
+
height: 100%;
|
| 271 |
+
background: var(--sprout);
|
| 272 |
+
border-radius: 2px;
|
| 273 |
+
transition: width 0.6s ease;
|
| 274 |
+
}
|
| 275 |
+
.top3-item .t3-pct {
|
| 276 |
+
font-family: 'DM Mono', monospace;
|
| 277 |
+
font-size: 0.72rem;
|
| 278 |
+
color: var(--clay);
|
| 279 |
+
margin-top: 0.15rem;
|
| 280 |
+
}
|
| 281 |
+
|
| 282 |
+
/* ββ ERROR ββ */
|
| 283 |
+
.error-box {
|
| 284 |
+
background: #fef2f2;
|
| 285 |
+
border: 1px solid #fca5a5;
|
| 286 |
+
border-radius: 12px;
|
| 287 |
+
padding: 1rem 1.4rem;
|
| 288 |
+
color: #991b1b;
|
| 289 |
+
font-size: 0.88rem;
|
| 290 |
+
}
|
| 291 |
+
|
| 292 |
+
/* ββ LOADING ββ */
|
| 293 |
+
.spinner {
|
| 294 |
+
display: inline-block;
|
| 295 |
+
width: 16px; height: 16px;
|
| 296 |
+
border: 2px solid rgba(255,255,255,0.4);
|
| 297 |
+
border-top-color: #fff;
|
| 298 |
+
border-radius: 50%;
|
| 299 |
+
animation: spin 0.7s linear infinite;
|
| 300 |
+
vertical-align: middle;
|
| 301 |
+
margin-right: 0.4rem;
|
| 302 |
+
}
|
| 303 |
+
@keyframes spin { to { transform: rotate(360deg); } }
|
| 304 |
+
|
| 305 |
+
/* ββ FOOTER ββ */
|
| 306 |
+
footer {
|
| 307 |
+
margin-top: 3rem;
|
| 308 |
+
text-align: center;
|
| 309 |
+
font-size: 0.75rem;
|
| 310 |
+
color: var(--clay);
|
| 311 |
+
opacity: 0.6;
|
| 312 |
+
}
|
| 313 |
+
|
| 314 |
+
@media (max-width: 600px) {
|
| 315 |
+
.card { padding: 1.4rem 1.2rem; }
|
| 316 |
+
.fields-grid { grid-template-columns: 1fr 1fr; }
|
| 317 |
+
}
|
| 318 |
+
</style>
|
| 319 |
+
</head>
|
| 320 |
+
<body>
|
| 321 |
+
<div class="wrapper">
|
| 322 |
+
|
| 323 |
+
<header>
|
| 324 |
+
<div class="logo-mark">π±</div>
|
| 325 |
+
<div>
|
| 326 |
+
<h1>CropSense</h1>
|
| 327 |
+
<p>Soil Analysis & Crop Recommendation Engine</p>
|
| 328 |
+
</div>
|
| 329 |
+
</header>
|
| 330 |
+
|
| 331 |
+
<div class="card">
|
| 332 |
+
<div class="card-title">Enter Soil Parameters</div>
|
| 333 |
+
|
| 334 |
+
<form id="predict-form">
|
| 335 |
+
<div class="fields-grid">
|
| 336 |
+
{% for key in features %}
|
| 337 |
+
{% set info = feature_info[key] %}
|
| 338 |
+
<div class="field">
|
| 339 |
+
<label for="{{ key }}">{{ info.label }}</label>
|
| 340 |
+
<div class="field-row">
|
| 341 |
+
<input
|
| 342 |
+
type="number"
|
| 343 |
+
id="{{ key }}"
|
| 344 |
+
name="{{ key }}"
|
| 345 |
+
step="{{ info.step }}"
|
| 346 |
+
min="{{ info.min }}"
|
| 347 |
+
max="{{ info.max }}"
|
| 348 |
+
placeholder="{{ info.placeholder }}"
|
| 349 |
+
required
|
| 350 |
+
/>
|
| 351 |
+
{% if info.unit %}
|
| 352 |
+
<span class="unit-badge">{{ info.unit }}</span>
|
| 353 |
+
{% endif %}
|
| 354 |
+
</div>
|
| 355 |
+
</div>
|
| 356 |
+
{% endfor %}
|
| 357 |
+
</div>
|
| 358 |
+
|
| 359 |
+
<div class="actions">
|
| 360 |
+
<button type="submit" class="btn-predict" id="submit-btn">
|
| 361 |
+
Analyse & Predict
|
| 362 |
+
</button>
|
| 363 |
+
<button type="button" class="btn-reset" onclick="resetForm()">Clear</button>
|
| 364 |
+
<button type="button" class="btn-sample" onclick="loadSample()">Load sample values</button>
|
| 365 |
+
</div>
|
| 366 |
+
</form>
|
| 367 |
+
|
| 368 |
+
<div id="result-section">
|
| 369 |
+
<div id="result-content"></div>
|
| 370 |
+
</div>
|
| 371 |
+
</div>
|
| 372 |
+
|
| 373 |
+
<footer>Built with Flask + Scikit-learn Β· NIELIT Ropar Β· M.Tech AI</footer>
|
| 374 |
+
</div>
|
| 375 |
+
|
| 376 |
+
<script>
|
| 377 |
+
const SAMPLE = { N:175, P:36, K:216, ph:5.9, EC:0.15, S:0.28, Cu:15.69, Fe:114.20, Mn:56.87, Zn:31.28, B:28.62 };
|
| 378 |
+
|
| 379 |
+
function loadSample() {
|
| 380 |
+
Object.entries(SAMPLE).forEach(([k, v]) => {
|
| 381 |
+
const el = document.getElementById(k);
|
| 382 |
+
if (el) el.value = v;
|
| 383 |
+
});
|
| 384 |
+
}
|
| 385 |
+
|
| 386 |
+
function resetForm() {
|
| 387 |
+
document.getElementById('predict-form').reset();
|
| 388 |
+
const rs = document.getElementById('result-section');
|
| 389 |
+
rs.classList.remove('show');
|
| 390 |
+
}
|
| 391 |
+
|
| 392 |
+
const CROP_ICONS = {
|
| 393 |
+
wheat: 'πΎ', rice: 'πΎ', maize: 'π½', cotton: 'πΏ',
|
| 394 |
+
sugarcane: 'π', potato: 'π₯', tomato: 'π
', onion: 'π§
',
|
| 395 |
+
mango: 'π₯', banana: 'π', grapes: 'π', apple: 'π',
|
| 396 |
+
default: 'π±'
|
| 397 |
+
};
|
| 398 |
+
|
| 399 |
+
function cropIcon(name) {
|
| 400 |
+
const lower = (name || '').toLowerCase();
|
| 401 |
+
for (const [k, v] of Object.entries(CROP_ICONS)) {
|
| 402 |
+
if (lower.includes(k)) return v;
|
| 403 |
+
}
|
| 404 |
+
return CROP_ICONS.default;
|
| 405 |
+
}
|
| 406 |
+
|
| 407 |
+
document.getElementById('predict-form').addEventListener('submit', async function(e) {
|
| 408 |
+
e.preventDefault();
|
| 409 |
+
const btn = document.getElementById('submit-btn');
|
| 410 |
+
btn.disabled = true;
|
| 411 |
+
btn.innerHTML = '<span class="spinner"></span>Analysingβ¦';
|
| 412 |
+
|
| 413 |
+
const formData = new FormData(this);
|
| 414 |
+
|
| 415 |
+
try {
|
| 416 |
+
const resp = await fetch('/predict', { method: 'POST', body: formData });
|
| 417 |
+
const data = await resp.json();
|
| 418 |
+
const rs = document.getElementById('result-section');
|
| 419 |
+
const rc = document.getElementById('result-content');
|
| 420 |
+
|
| 421 |
+
if (data.error) {
|
| 422 |
+
rc.innerHTML = `<div class="error-box">β οΈ ${data.error}</div>`;
|
| 423 |
+
} else {
|
| 424 |
+
let top3HTML = '';
|
| 425 |
+
if (data.top3 && data.top3.length > 1) {
|
| 426 |
+
top3HTML = `<div class="top3">` +
|
| 427 |
+
data.top3.map(t => `
|
| 428 |
+
<div class="top3-item">
|
| 429 |
+
<div class="t3-crop">${t.crop}</div>
|
| 430 |
+
<div class="t3-bar-wrap"><div class="t3-bar" style="width:${t.prob}%"></div></div>
|
| 431 |
+
<div class="t3-pct">${t.prob}%</div>
|
| 432 |
+
</div>`).join('') +
|
| 433 |
+
`</div>`;
|
| 434 |
+
}
|
| 435 |
+
|
| 436 |
+
rc.innerHTML = `
|
| 437 |
+
<div class="result-banner">
|
| 438 |
+
<div class="crop-icon">${cropIcon(data.crop)}</div>
|
| 439 |
+
<div>
|
| 440 |
+
<div class="crop-label">Recommended Crop</div>
|
| 441 |
+
<div class="crop-name">${data.crop}</div>
|
| 442 |
+
</div>
|
| 443 |
+
</div>
|
| 444 |
+
${top3HTML}
|
| 445 |
+
`;
|
| 446 |
+
|
| 447 |
+
// Animate bars after render
|
| 448 |
+
setTimeout(() => {
|
| 449 |
+
document.querySelectorAll('.t3-bar').forEach(b => {
|
| 450 |
+
const w = b.style.width; b.style.width = '0';
|
| 451 |
+
requestAnimationFrame(() => { b.style.width = w; });
|
| 452 |
+
});
|
| 453 |
+
}, 50);
|
| 454 |
+
}
|
| 455 |
+
|
| 456 |
+
rs.classList.add('show');
|
| 457 |
+
rs.scrollIntoView({ behavior: 'smooth', block: 'nearest' });
|
| 458 |
+
} catch (err) {
|
| 459 |
+
document.getElementById('result-content').innerHTML =
|
| 460 |
+
`<div class="error-box">β οΈ Network error: ${err.message}</div>`;
|
| 461 |
+
document.getElementById('result-section').classList.add('show');
|
| 462 |
+
} finally {
|
| 463 |
+
btn.disabled = false;
|
| 464 |
+
btn.textContent = 'Analyse & Predict';
|
| 465 |
+
}
|
| 466 |
+
});
|
| 467 |
+
</script>
|
| 468 |
+
</body>
|
| 469 |
+
</html>
|