14.4 Agricultural and precision farming applications
3 min read•august 7, 2024
Wireless sensor networks revolutionize agriculture by enabling precise monitoring and management of crops, livestock, and farm environments. These systems collect real-time data on soil moisture, plant health, and animal behavior, allowing farmers to make informed decisions and optimize resource use.
From automated irrigation to early , WSNs enhance farm productivity and sustainability. By integrating with drones, robots, and , these technologies create smart farming systems that boost yields, reduce costs, and minimize environmental impact.
Crop Monitoring and Management
Soil Moisture Monitoring and Precision Irrigation
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Using a Soil Moisture Sensor with Arduino - Electronics-Lab View original
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An Arduino-Based Wireless Sensor Network for Soil Moisture Monitoring Using Decagon EC-5 Sensors View original
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Design and Development of an IoT Based Intelligent Controller for Smart Irrigation View original
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Using a Soil Moisture Sensor with Arduino - Electronics-Lab View original
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An Arduino-Based Wireless Sensor Network for Soil Moisture Monitoring Using Decagon EC-5 Sensors View original
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Top images from around the web for Soil Moisture Monitoring and Precision Irrigation
Using a Soil Moisture Sensor with Arduino - Electronics-Lab View original
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An Arduino-Based Wireless Sensor Network for Soil Moisture Monitoring Using Decagon EC-5 Sensors View original
Is this image relevant?
Design and Development of an IoT Based Intelligent Controller for Smart Irrigation View original
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Using a Soil Moisture Sensor with Arduino - Electronics-Lab View original
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An Arduino-Based Wireless Sensor Network for Soil Moisture Monitoring Using Decagon EC-5 Sensors View original
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Wireless deployed in fields measure soil moisture levels at various depths
Helps farmers determine optimal irrigation schedules to conserve water and improve crop yields
systems use sensor data to automatically adjust watering based on soil conditions
Drip irrigation delivers water directly to plant roots, reducing evaporation and runoff (subsurface drip irrigation)
integrate weather data, soil moisture readings, and crop requirements to optimize watering
Can be remotely controlled via mobile apps or web interfaces for convenient management ()
Crop Health Monitoring and Pest Detection
WSNs equipped with cameras and spectral sensors monitor crop health indicators like leaf color and plant vigor
detects nutrient deficiencies, disease, and pest infestations early ( - Normalized Difference Vegetation Index)
Acoustic sensors detect specific insect sounds to identify pest species and estimate population densities
Enables targeted pesticide application to minimize environmental impact and save costs ()
analyze sensor data to predict yield potential and optimize crop management decisions
Combines data on weather, soil, and plant health to forecast harvest dates and yields ()
Livestock and Facility Monitoring
Livestock Tracking and Health Monitoring
and track animal location, movement patterns, and behavior
Detects abnormal activity that may indicate illness, injury, or predator attacks ()
monitor vital signs like body temperature, heart rate, and rumination to assess animal health
Wireless bolus sensors administered orally reside in the rumen to continuously monitor pH levels ()
Cameras combined with monitor livestock behavior and detect signs of distress
Analyzes facial expressions, posture, and gait to identify pain or lameness in cattle ()
Greenhouse and Weather Monitoring
WSNs in greenhouses monitor environmental variables like temperature, humidity, light intensity, and CO2 levels
Enables precise control of growing conditions to optimize plant growth and quality ()
Automated ventilation, heating, and lighting systems respond to sensor data to maintain optimal conditions
adjust shading and ventilation based on weather data ()
with sensors for temperature, rainfall, wind speed, and solar radiation collect microclimate data
Informs planting schedules, pest management, and irrigation decisions based on local conditions ()
Integrated Agricultural Systems
Drone and Robotic Integration
equipped with sensors and cameras provide high-resolution aerial imagery of fields
Detects variations in plant health, soil moisture, and pest infestations for targeted management ()
perform tasks like planting, weeding, and harvesting with precision and efficiency
Laser-guided robots identify and remove weeds without herbicides ()
Drones and robots collect data to create detailed maps of fields for precision agriculture applications
3D maps guide variable rate application of fertilizers and pesticides based on site-specific needs ()
IoT Platforms and Farm Management Systems
IoT platforms integrate data from various sensors, drones, and equipment for centralized monitoring and control
Cloud-based platforms provide real-time insights and enable remote management of farm operations ()
combine sensor data with agronomic models to support decision making
Recommends optimal planting dates, fertilizer application rates, and pest control strategies ()
and machine learning algorithms identify patterns and trends in farm data to improve efficiency
Analyzes historical yield data, weather patterns, and market trends to optimize crop selection and pricing ()