The United Nations Food and Agriculture Organization (FAO) projections show that the world population is expected to increase by 34% in 2050 to grow 9.1 billion. The need to produce sufficient food in a foreseeable way for the growing population introduces or spreads methods that will lead to a more efficient and sustainable agricultural production.
One of these methods is to employ landsat imagery in agricultural production. Satellite image processing through techniques such as Image Processing, AI (artificial intelligence), and remote-sensing technologies allows for uninterrupted monitoring of agricultural production activities in many areas such as plant health, water-stress tolerance, and fertilizer requirements.
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How to choose a satellite image?
Plants react in different ways to different wavelengths of light, depending on their needs. Multi-spectral satellite images provide further information beyond what human eyes can see with their visible red, green, and blue receptors. Data collection at different wavelengths of light obtained through multi-spectral images measures various plant health markers. So, this enables to remotely monitor crop health and keep track of plants after irrigation, fertilization, and spraying all day and every day.
Satellite images that provide uninterrupted product monitoring with no need for the field equipment are more effectively used to overcome uncertainty in agricultural production each passing day. Multi-spectral satellite images are of great importance for precise monitoring in agricultural production.
Different satellites use different wavelengths of light to measure. Plus, data resolution can vary from satellite to satellite. You should pay attention to the spatial and temporal resolutions while selecting satellite images. Spatial resolution refers to how many square meters of land corresponds to the size of one pixel. The temporal resolution refers to the time elapsed between consecutive images. In other words, it is the frequency of spatial images acquired by satellites. The more images mean, the more sensitive the image analysis.
ImeceMobil uses ESA Sentinel-2 Constellations as a landsat source for analysis. Sentinel 2 images provided by the European Space Agency (ESA) enable monitoring plant health with a 5-day temporal and 10-meter spatial resolution. It is one of the most used landsat imagery sources worldwide to monitor large areas.
How does the satellite service supported by agricultural experts help the farmer?
The farmer income is 40% lower on average compared to non-agricultural industries despite the apparent significance of agricultural production. Farmers leave their fields behind because of low profitability and high risks, directly impacting food security in terms of general supply. Through the expert-supported satellite service, uninterrupted field monitoring increases the yield by 25%, and the input minimization makes the harvests more fertile. So, we increase the farmers' income.
The data points provided by each new satellite image give information about the field's gradual progress and its detailed phenological status. We make this information understandable through digital services and bring it to you via the mobile app.
We regularly monitor plant health, water stress tolerance, anomalies, and the rest and notify you when necessary. Our farmers can access satellite images via the ImeceMobil mobile app and keep track of field development and problems. Farmers can compare their fields with neighbor fields. Plus, we make the technical information more coherent and practical with the help of agricultural experts you can have direct contact.
So, we can track what is happening in your field before observing it on your crops. Enabling access only via your mobile phone with no extra equipment costs, our service helps you take the precautions on time. So, this ensures efficiency maximization and keeps the costs at the lowest level.
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