🌽 Magnesium (Mg) Nutrient Map - Sample
Reproductive Stage Interpretation
Magnesium (Mg) is a vital secondary macronutrient for plant health. It is a central element in chlorophyll, essential for photosynthesis, and plays a key role in enzyme activation, energy metabolism, and the transport of carbohydrates.
This map represents the spatial distribution of magnesium content in crop tissue, helping identify areas of deficiency, balance, or excess to support precision agriculture strategies.
📊 Magnesium Levels & Interpretation
Level | Range (% in dry matter) | Interpretation |
---|---|---|
Critical | < 0.15% | Severely deficient. May cause chlorosis in older leaves and significantly reduce photosynthetic efficiency and yield. Immediate correction is recommended. |
Low | 0.16 – 0.44% | Magnesium levels may be insufficient to meet the plant’s demands, especially in soils with high potassium or calcium, which can interfere with Mg uptake. |
Medium | 0.45 – 0.73% | Generally adequate for most crops. Maintains chlorophyll structure and supports enzyme functions. |
High | 0.74 – 1.00% | Optimal Mg range. No need for additional supplementation under normal conditions. |
Over-sufficiency | > 1.00% | Excess Mg may interfere with calcium and potassium absorption. While not toxic, nutrient balance should be evaluated. |
Irregular Material | — | Data affected by inconsistencies or anomalies. Consider resampling for accuracy. |
💡 Tip: Magnesium availability can be reduced in soils with high levels of K⁺ or Ca²⁺ due to ionic competition. Use Mg maps alongside potassium and calcium maps for complete nutrient analysis.
🌱 Why Use Magnesium Crop Maps?
Detect nutrient imbalances before visual symptoms appear
Optimize fertilization planning (e.g. use of dolomite or Mg foliar applications)
Maintain proper nutrient ratios (especially K:Mg and Ca:Mg)
Support crop health during critical growth stages

- Maps are available in 10 x 10 m resolution.
Available images every 5 days.
Table of contents including detailed parameters
Time lapse graphics to evaluate trends and deviations.