File size: 5,413 Bytes
83616b0 afb0a8a 83616b0 afb0a8a 83616b0 afb0a8a 83616b0 afb0a8a 83616b0 a9baab4 83616b0 afb0a8a 83616b0 afb0a8a 83616b0 afb0a8a 83616b0 afb0a8a 83616b0 afb0a8a 83616b0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 |
import gradio as gr
import random
import time
# thresholds for soil moisture (in %)
PRIMARY_THRESHOLD = 30 # Below this, irrigation is necessary
SECONDARY_THRESHOLD = 20 # Below this, irrigation is critical
def calculate_irrigation_runtime(soil_moisture):
"""Calculate irrigation runtime based on soil moisture."""
if soil_moisture < SECONDARY_THRESHOLD:
return 10 # Critical moisture, longer irrigation
elif soil_moisture < PRIMARY_THRESHOLD:
return 7 # Moderate moisture, shorter irrigation
else:
return 0 # No irrigation needed
def irrigation_decision_with_runtime(soil_moisture, rainfall_prediction):
"""Make irrigation decision and simulate runtime."""
# Initial irrigation decision
decision = irrigation_decision(soil_moisture, rainfall_prediction)
yield decision, ""
# Simulate irrigation runtime if irrigation is ON
if "Irrigation ON" in decision:
runtime = calculate_irrigation_runtime(soil_moisture)
if runtime > 0:
for minute in range(1, runtime + 1):
time.sleep(1) # Simulate a minute as 1 second for demonstration
status = f"Irrigation running... ⏳ ({minute}/{runtime} minutes)"
yield decision, status
# Turn off irrigation after the duration
yield decision, "Irrigation OFF ⛔ (Completed runtime)"
else:
yield decision, "Irrigation remains OFF ⛔"
def irrigation_decision(soil_moisture, rainfall_prediction):
"""Decide whether to turn irrigation ON or OFF."""
if soil_moisture < SECONDARY_THRESHOLD:
if rainfall_prediction == "Yes":
return "Irrigation ON 🌧️🚿 (Critical soil moisture)"
else:
return "Irrigation ON 🚿 (Critical soil moisture)"
elif soil_moisture < PRIMARY_THRESHOLD:
if rainfall_prediction == "Yes":
return "Irrigation OFF ⛔ (Rainfall expected, conserving water)"
else:
return "Irrigation ON 🚿 (Low soil moisture)"
else:
return "Irrigation OFF ⛔ (Soil moisture sufficient)"
def simulate_values_and_runtime():
"""Simulate IoT data collection and runtime."""
# Show loading message for data collection
yield "Collecting data from IoT device... 🌐📡", "", "", "", ""
time.sleep(2) # Simulate delay for fetching data
# Simulate IoT data
simulated_moisture = random.uniform(10, 50)
rainfall_prediction = random.choice(["Yes", "No"])
decision = irrigation_decision(simulated_moisture, rainfall_prediction)
# Display simulated data and initial decision
yield "", f"{simulated_moisture:.2f}", rainfall_prediction, decision, ""
# Simulate irrigation runtime
if "Irrigation ON" in decision:
runtime = calculate_irrigation_runtime(simulated_moisture)
if runtime > 0:
for minute in range(1, runtime + 1):
time.sleep(1) # Simulate a minute as 1 second for demonstration
status = f"Irrigation running... ⏳ ({minute}/{runtime} minutes)"
yield "", f"{simulated_moisture:.2f}", rainfall_prediction, decision, status
# Turn off irrigation after the duration
yield "", f"{simulated_moisture:.2f}", rainfall_prediction, decision, "Irrigation OFF ⛔ (Completed runtime)"
else:
yield "", f"{simulated_moisture:.2f}", rainfall_prediction, decision, "Irrigation remains OFF ⛔"
# Gradio Interface
with gr.Blocks(title="Smart Irrigation System 🌱💧") as demo:
gr.Markdown("# Smart Irrigation System 🌱💧")
gr.Markdown(
"""
This app helps farmers optimize water usage by predicting irrigation needs based on soil moisture and rainfall forecast.
"""
)
with gr.Row():
soil_moisture_input = gr.Slider(
minimum=0,
maximum=100,
step=1,
label="🌡️ Soil Moisture (%)",
value=30
)
rainfall_prediction_input = gr.Radio(
["Yes", "No"], label="🌧️ Rainfall Prediction in the Next 24 Hour", value="No"
)
decision_output = gr.Textbox(label="💡 Irrigation Decision")
runtime_status_output = gr.Textbox(label="⏳ Irrigation Runtime Status")
with gr.Row():
submit_button = gr.Button("Submit & Simulate Runtime 🚀")
with gr.Row():
simulate_button = gr.Button("Simulate IoT Data & Runtime 🌐⏳")
collecting_data_output = gr.Textbox(label="Status")
simulate_output_moisture = gr.Textbox(label="Simulated Soil Moisture (%)")
simulate_output_rainfall = gr.Textbox(label="Simulated Rainfall Prediction")
simulate_decision_output = gr.Textbox(label="Simulated Irrigation Decision")
simulate_runtime_output = gr.Textbox(label="Irrigation Runtime Status")
# Function connections
submit_button.click(
irrigation_decision_with_runtime,
inputs=[soil_moisture_input, rainfall_prediction_input],
outputs=[decision_output, runtime_status_output]
)
simulate_button.click(
simulate_values_and_runtime,
inputs=[],
outputs=[
collecting_data_output,
simulate_output_moisture,
simulate_output_rainfall,
simulate_decision_output,
simulate_runtime_output
]
)
# Launch the app
demo.launch()
|