Agriculture, Dairy, Veterinary, Fishery, and Allied Fields
Agriculture is the mainstay of many economies across Africa and beyond. With population increases, changes in climatic patterns and the use of statistical methods is increasingly becoming important.
The principal tasks involved in agricultural statistics are the collection, processing, and analysis of statistical data that characterize the current status and development of agriculture and the fulfilment of production plans.
Efficient production, environmental policies can benefit a lot of statistical methods of sampling, data collection and analysis. The sources of information employed in agricultural statistics are censuses, sample surveys, and the periodic and annual reports submitted
Who do we work with?
Yield optimisation & resource use
Adopting an array of statistical tools we are keen on ensuring that you have a comprehensive insight into the factors that impact on yields in your farming business. Whether you focus on crops, livestock, fisheries or any other type of farming, there is a need to monitor the various performances indicators including growth rate. With an understanding of the indicator, it makes it possible to understand the distribution of resources across the different stage of development. Ultimately with a bit of statistical insight and a follow-up and the results produced it is possible to gain cost benefits
By employing data in the production aspect of your agricultural business, we assist you in the monitoring and understanding of the,
• Effects on the environment of the use of pesticides and fertilizes
• The quality of the soil, air under different production settings
• Greenhouse gas emissions caused by your business.
• Compliance conditions and fulfilment under various quality assurance schemes
M n E in Diseases & Pest Control
The role of statistical modelling in the monitoring of disease resistance of crops varieties and breeds in the agricultural sector is important. It is also important to ensure that the incidence and prevalence of diseases are closely monitored to ensure maximum yields. Gathering as much insight as possible from the occurrence of diseases in plants and animals would also overtime foster the advancement of new preventative or control strategies. This understanding is especially critical in the current context where environmental sustainability as opposed to using chemicals is being encouraged. The attainment of these goals is possible with appropriate statistical modelling work. Understanding the effect on plants and animals of the abandonment of the environment mentally () is also equally critical
Dynamics of consumer behaviour
The understanding of consumer behaviour is important in farming. We assist in several areas focused on understanding consumer preferences. We also help you unearth the impact on the food production system of the potential change in consumption levels. Through the use of statistical modelling we assist those in the agriculture sector compare alternative production methods, and dietary supplements and help predict consumer retention
Data in the agricultural sector come in many different forms and from. It also at different periods identifies different socio-economic and spatial dependencies. At ROI we understand the complexity of agricultural data, thus we are more than ready to assist with you. Be it a single field trial a variety you are dealing with you, we have the expertise to account for each and ensure ultimately that you understand the factors driving performances indicator in your business.
Also because of the value, we place on designing experiment very well you can rely on to advice in the critical design stage. We also extend our bespoke service offers to relevant and adequate sample size - that is helping you detect the desirable amount resources
