Stay Ahead of Common Corn Rust with Cesens
Discover how our predictive model helps identify high-risk situations and optimize management decisions.
Weather data + epidemiological analysis = smart crop protection.

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Prediction and Control of Common Corn Rust with Cesens Common corn rust (Puccinia sorghi) is one of the most widespread and damaging diseases affecting this crop, capable of drastically reducing yield and profitability. Its development is directly linked to environmental factors such as temperature, humidity, and rainfall, making it crucial to anticipate its onset. Cesens’ predictive model allows for real-time forecasting of the risk of common maize rust infection by analyzing weather conditions and issuing alerts when the risk is high. This innovative tool helps farmers make more accurate decisions, optimize phytosanitary treatments, and protect their crops in a sustainable manner. Thanks to its mechanistic, data-driven approach, Cesens facilitates smart corn management by integrating climate forecasts, agronomic practices, and preventive strategies such as the use of resistant hybrids and crop rotation. 🔹 Key benefits: Early prediction of common rust risk. Optimization of treatments and cost reduction. Greater sustainability and environmental protection. Improved crop profitability.