Sustainable farming is no longer an optional ideal. It’s a necessity for meeting global Environmental, Social, and Governance (ESG) standards. The European Union agricultural sector created an estimated gross value added of EUR 222.3 billion in 2022, leading the export of value-added products like processed foods, meat, or dairy products. However, lands and ecosystems are becoming subject to degradation along with high greenhouse gas emissions and loss of biodiversity.
To minimize the negative impact and follow an efficient and green approach, it is crucial to use all innovations available in satellite imagery, AI analytics, and weather data. EOSDA Crop Monitoring is one of the platforms that aligns the core pillars of sustainable agriculture and offers companies top-notch technologies to contribute to international food security safely.
Classified Crops For Climate Reports
To meet the highest ESG standards and guarantee advanced climate reporting and emission management, land and crop classification are an integral attribute. Smart agriculture software lets farmers detect field boundaries, classify crops, analyze vegetation health, and predict weather changes with high-resolution imagery. EOSDA Crop Monitoring allows companies to meet growing regulatory demands with this crop and land classification approach, based on a structured and multi-stage strategy:
- Data acquisition & preprocessing – Selecting satellite images with minimal cloud cover and applying atmospheric corrections.
- Boundary detection – Precise measurement of a field using mapping and refining features.
- Model adaptation – Training machine learning models, such as Conv-LSTM, to detect spatial and temporal crop patterns.
- Crop classification – Identifying major crops, from cereals like wheat and barley to oilseeds like canola.
- Validation – Reviewing anomalies to ensure consistency with official agricultural statistics.
Such projects can cover thousands of square kilometers and deliver actionable results in weeks, even without extensive ground-truth data. As a result, policymakers can easily track land-use changes, create fact-based agriculture policies, and release enhanced regional climate reports.
Measuring and Optimizing Field Productivity
With the growing food security demands, farming companies use various crop planning software tools to determine crop productivity and prepare for every planting season precisely.
The NDVI (Normalized Difference Vegetation Index) allows for assessing plant health, indetify stress zones, and adjusting treatment methods across different land plots. NDVI is based on comparing the amount of near-infrared (NIR) light reflected by plants with the amount of red light they reflect. Healthy plants reflect high levels of NIR but absorb most red light for photosynthesis, and NDVI uses this difference to quantify vegetation health.
Another valuable feature offered by agriculture software solutions is historical weather analytics. For instance, EOSDA Crop monitoring offers multi-year precipitation and temperature trends, so that agricultural specialists can spot shifts in rainfall distribution or heat periods that directly impact germination and plant development stages.
Vegetation mapping, historical climate data, and real-time tracking give farmers information to determine specific recommendations for the next sowing year and develop customized products for each crop growth and development stage.
Boosting Efficiency and Economic Gains
Using precision agriculture software can significantly speed up farm operations and boost crop yields. With quick access to ready-to-use satellite imagery, data processing times can drop by more than 80%, making it easier to plug insights straight into existing management systems. According to the research in 2024, the sustainable agriculture market generated USD 11.8 billion in revenue, which is expected to reach USD 14.8 billion in 2026.
When data comes in faster, agronomists can respond to changes in the field almost immediately – whether that means adjusting irrigation, fine-tuning fertilization, or tackling pest issues. This kind of quick action has delivered real results, with some farms seeing harvests rise from 3.8 to 4.5 tonnes per hectare.
Beyond the field, these advances support broader supply chain benefits. Increased production enables farms to expand processing capabilities, purchase more raw crops from local growers, and deliver higher volumes of quality grain to the market according to ESG standards.
Conclusion: Cultivating Sustainability Through Smart Data
Using advanced farm management software in day-to-day work helps farms make the most of their resources, protect the environment, and base every decision on accurate field data. It encourages greener practices, improves efficiency, and keeps the business profitable in the long run. By caring for the land while staying economically strong, farms can build a sustainable future that benefits not just producers, but whole communities and the planet too.
By: Vasyl Cherlinka, a Doctor of Biosciences specializing in pedology (soil science), with 30 years of experience in the field. With a degree in agrochemistry, agronomy, and soil science, Dr. Cherlinka has been advising on these issues private sector for many years.