Agriculture solutions - develop healthier, higher yielding crops

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Agriculture

Data Analysis for Agriculture

With our population increasing and agricultural land decreasing it is essential to find ways to sustain the breeding of plants and livestock for human consumption. As a collective, we need to increase food production while at the same time reducing its environmental footprint and adapting to the effects of climate change.  

To overcome these challenges it is necessary to disrupt the system: this is what Agriculture 4.0 have been doing. The fourth agricultural revolution focuses on the Internet of things (IoT), precision agriculture and the use of big data to drive agriculture. Sophisticated technologies such as GPS technology, aerial images, robots, temperature and moisture sensors, genome editing, and many others, help to deliver a more profitable, efficient, safer and environmentally friendly agricultural industry. As a company that specialises in the life sciences, VSNi is ideally placed to help agriculturists, ensuring modern solutions for data analysis.

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Agriculture solutions - develop healthier, higher yielding crops

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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Agriculture FAQs

Agriculture statistics software is a solution evaluating data from plant and livestock breeding programs. It provides tools to bring viable results from your agricultural data analyses including fitting complex linear mixed models , facilities for modelling field and multi-environment trial (MET) data and identifying key traits to help you discover and make key breeding decisions.

At VSNi, we have several solutions available for experimental designs and statistical analysis of agricultural data including Genstat, CycDesigN, and ASReml-SA.

We have an extensive list of resources for using agriculture software products to enhance your work. Check out our interactive demos, E-Learning and knowledge bases to find out more.

You can use a range of different methods to import and export data into agriculture software products. We have guides available on how to import and export data, including this in-depth Genstat guide.