Yes, precision agriculture is sometimes referred to as satellite farming. Precision agriculture is an approach to farming that uses technology to optimize and improve various aspects of agricultural practices, such as crop yield, resource efficiency, and environmental sustainability. Satellite imagery and global positioning system (GPS) technology are often used in precision agriculture to gather data and monitor fields from above, hence the term "satellite farming."
In addition to satellite imagery and GPS, a significant component of precision agriculture is the use of Internet of Things (IoT) sensors. These sensors are deployed in fields and various agricultural environments to collect real-time data and information that can be used to make informed decisions.
Some of the IoT sensors commonly used in precision agriculture include:
Soil Moisture Sensors: These sensors measure the amount of moisture in the soil. This data helps farmers determine when and how much to irrigate, leading to efficient water usage and optimal crop growth.
Weather Sensors: Weather stations equipped with IoT sensors provide information on temperature, humidity, wind speed, and other weather conditions. This data helps farmers anticipate weather patterns and make decisions related to planting, harvesting, and pest control.
Nutrient Sensors: These sensors measure the nutrient levels in the soil, allowing farmers to apply fertilizers precisely where they are needed. This reduces wastage and environmental impact.
Crop Health Sensors: Sensors can monitor crop health by measuring factors such as chlorophyll levels, leaf temperature, and photosynthesis rates. This helps detect diseases, nutrient deficiencies, and other issues early, enabling timely intervention.
Pest and Disease Monitoring Sensors: These sensors can detect the presence of pests and diseases in crops through various means, such as visual recognition, pheromone detection, or temperature changes.
Aerial Imaging Drones: While not traditional IoT sensors, drones equipped with cameras or multispectral sensors can capture detailed imagery of fields. This imagery is used to create maps of crop health, identify problematic areas, and assess overall field conditions.
Livestock Monitoring Sensors: In addition to crop-related sensors, IoT devices can be used to monitor the health and behavior of livestock. For example, wearable devices can track animal movement, temperature, and other vital signs.
Harvest and Yield Sensors: Some sensors are used to measure yield during harvesting. These sensors help farmers track crop productivity and plan for future seasons.
These IoT sensors contribute to data-driven decision-making in agriculture, allowing farmers to optimize their practices, minimize resource wastage, and increase overall efficiency and sustainability.
Precision agriculture is also known as satellite crop management or site-specific crop management. This is used to develop a decision support system for complete farm management with the goal of optimizing the inputs and outputs of the different systems at regular intervals. The primary benefit of using satellites for precision agriculture is the ability to monitor and manage crop yields in real-time. With satellite imagery, farmers can track crop growth, soil moisture levels, and pest infestations. Satellite Agriculture is also called Precision agriculture, which is an approach to farm management that uses information technology to ensure that the crops and soil receive exactly what they need for optimum health and productivity. The temperature sensor and humidity sensor are used to monitor the weather condition in the agriculture field area. The soil moisture sensor and rain sensor are used to monitor the soil moisture and rainfall. Connect a range of IoT-based agricultural sensors such as temperature, moisture, depth, humidity sensors for agriculture, and more for environmental monitoring applications. Dozens of sensors are available today, but the five most important sensors for the maintenance professional are vibration, gas, temperature, humidity, and security sensors.