Nutrient Distribution Farmers can only decide whether or not to fertilize the soil after knowing what nutrients are already present in a specific field. By analyzing the field’s nutrient status and detecting nutrient deficiency with GIS, agriculture producers can deliver nutrients from the outside more precisely.
Crop Yield Prediction Governments and enterprises need reliable yield estimates to secure food supplies and predict profits and budgets. These forecasts are now possible thanks to technological advances that have linked satellites, remote sensing, big data, and artificial intelligence. EOSDA has developed a reliable approach for crop yield prediction with an accuracy of over 90% based on historical and current crop data derived from satellites.
Agriculture is one of many spheres where GIS technologies can be applied. Geographic information systems are widely used in many areas, including environmental protection, deforestation and reforestation management, urban planning, disaster mitigation, and more.
How Agriculture Majors Use GIS All the major participants in the agriculture industry use GIS. The benefits that GIS-powered solutions can bring to each domain deserve careful consideration.
Insurance Companies GIS data facilitates the insurance companies’ analysis of the insured regions, allowing for collecting a sufficient pool of indicators from which to form payments and terms. In the future, these companies will use the same GIS agriculture tools to monitor crop development and assess yield losses.
Banks By gaining a deeper comprehension of the local community’s needs, GIS allows banks to expand into new agriculture markets and increase their ROI. When deciding whether or not to lend money to farmers, banks and other financial institutions can employ GIS tools to evaluate the projects’ viability and risks.
Input Suppliers GIS-based agriculture solutions are helpful for input suppliers, allowing them to see how their product performs in the field. They can assess the impact of fertilizers and other additives on crop yields by comparing the results before and after the treatment.
