Agribusiness solutions - monitor, manage and accelerate growth

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Agribusiness

Sustainable agribusiness with VSNi

Why does Senegal export raw cashew nuts while importing processed cashew nuts from India and Brazil every year? Why do some countries’ retailers stock only a few locally manufactured food products, while others have an extensive agriculture industry and rich culinary traditions?

The exploitation of new technologies such as artificial intelligence, system design solutions, and orchestration technologies is crucial to remain competitive and drive fundamental shifts in the global agribusiness sector. Based on the new technologies, big data can truly transform the agricultural sector by having the right tools and statistical software to integrate various data resources and predict results accurately.

Improved data collection and accurate predictive analytics will help farmers adapt to climate change and lead to better decisions, both pre-and post-seeding, increasing crop yield and increasing quality.

VSNi work with a range of commercial and ‘not-for-profit’ organisations in agribusiness across the globe, providing analytical software and experimental design tools to further their work.

data collector in crop field
data collector assessing a corn field

VSNi software tools can add real value to agribusiness

For over 20 years VSNi has developed a range of data and analytics software to support scientists, researchers and breeders within the biosciences. Designed by statisticians with non-statisticians in mind, our products are ideal for users looking for exceptional decision-making tools that are able to accommodate increasingly large and complex datasets. Fully documented with user guides, knowledge bases and video tutorials, VSNi’s products are easy to use - should you need it you can even get help directly from the team who developed the software!

Genstat provides an easy-to-use environment where only a few instructions or selections from the options menu are needed to undertake simple or more complex analyses, bringing reliable and accurate analytics to your processes. Data from diverse sources is easily imported and made ready for analysis using the efficient data preparation tools, and Genstat’s data visualization options help to identify insights from your statistical analyses and truly get the most from your data.

ASReml is powerful statistical software specially designed for mixed models using Residual Maximum Likelihood (REML) to estimate the parameters in an R environment. Linear mixed effects models provide a rich and flexible tool for the analysis of many data sets commonly arising in animal, plant and aqua breeding, agriculture, environmental sciences and medical sciences. ASReml is used in commercial applications world-wide for its reliability, speed and efficiency when making sense of large, often messy data sets.

Case studies

Our analytics software and consulting services are chosen by seed, plant, aqua and animal breeding companies worldwide to support and inform the development of new varieties, strains, stocks and breeds.

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