The Precision Agriculture module is designed to help farmers and agronomists make smarter, data-driven decisions for fertilizer and soil amendment application. Through the Biofertech platform, farmers can register their farms and upload field boundaries using standard geospatial formats such as GeoJSON, KML/KMZ, shapefile ZIP, or by directly drawing parcel limits on an interactive map. This allows the platform to accurately identify each field and prepare it for agronomic analysis.
Once the field is registered, the system generates satellite-based Variable Rate Application (VRA) prescription maps for fertilizers and soil amendments. These maps are built using a combination of remote sensing indicators such as NDVI, NDRE, and SAVI, together with soil test results, farmer-provided information, and Biofertech’s internal agronomic rules and decision logic. The objective is to translate complex field variability into clear, actionable application zones that support precision farming practices.
The module visually divides the parcel into management zones according to crop vigor, soil condition, nutrient status, or stress patterns detected from satellite imagery and field data. For each zone, the platform provides recommended products, dosage rates, and a clear application strategy adapted to the agronomic context. In addition, the tool can estimate cost per hectare, expected yield improvement, and potential carbon sequestration impact, helping farmers and project partners evaluate both economic and environmental benefits.
To ensure operational usability, the platform enables users to export prescription maps and reports in practical formats, including PDF summaries for decision-making and GIS-ready outputs that can be integrated into agricultural machinery workflows or external mapping software. This module positions Biofertech as a provider of precision agronomy, sustainable input optimization, and climate-smart land management, especially relevant for arid, saline, alkaline, and climate-vulnerable agricultural systems.