In order to meet the needs of a rapidly growing population, agricultural companies today are having to cope with high energy prices, climate change, and concerns about environment, while at the same time managing traditional factors such as improving crop yields and minimizing the damage from pests and disease.

Despite more advanced agricultural methods, high commodity prices are putting strains on both agricultural producers and consumers, in the form of high food prices. Applying scientific knowledge to agricultural sector can give industry players a competitive advantage and help optimize their production.

Multivariate analysis can be used for a wide range of applications, including:

• Prediction of soil content using near-infrared spectroscopy
• Precision agriculture: using PLS quantification of NIR of soil to tailor fertilization of crops
• Determining ripeness of fruit to optimize harvesting from transmittance NIR

As pioneers in MVA, our software and solutions have been tried and tested for over 25 years by agricultural producers. Contact us to find out how we can help or to arrange a free demonstration.