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Unlock your guides14.4 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
Is this image relevant?
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 ()
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