PRECISION FARMING SIMULATOR
This is one of 50 Harvesting Nutrition project case studies. Harvesting Nutrition was a contest held in 2012 and 2013 that showcased active projects working to improve the impact of agriculture and/or food security on nutrition outcomes. Co-sponsors were SecureNutrition, Save the Children UK, and the Global Alliance for Improved Nutrition (GAIN). Learn More.
Our project is an event simulator applied to the agricultural sector that modelize in 3D form, graphical and statistics what should represent the productivity of a given culture in terms of quantity and quality . This solution derived from a set of algorithmic calculations and sophisticated computer techniques integrates an artificial intelligence what projects on mobile or web platform the result of virtual reality of a proposed agricultural type taking as input data, seed, soil properties, weather, area, water requirements, the climate, the logistics, the demographics and macroeconomics of the target area. Coupled to software of analysis and interpretation of data collected from sensors and on-premise probes, it is able to propose and to describe different choices of culture based on the analysis of the target area, the moment conducive in their cultivation, the needs for optimal development, the state of the scalability of culture in its various phases of development. Relying to its knowledge base comprising a set of agricultural experience on similar projects, our solution is able to bring solutions referring on this and thus promote the maintenance and monitoring. The solution thus appears as a forecasting tool, a helper tool for agricultural decision making, monitoring and maintenance with the aim of preventing agricultural, crop diversification, improved productivity, upgrading the agricultural sector, promoting agriculture through ICT, and finally the growth of investments in this sector have already one for the future.
The main objective of this project is to ensure better management of agricultural projects initiated by amateur or professional of world agriculture and therefore to cope with food insecurity that hangs over the continent. Thus, with the event simulator offered by our solution, farmers have the opportunity to get even before the project began a view of the virtual reality of their productivity in terms of quality and quantity. This way they may therefore decide whether to implement it or not. Also in the same direction, Thanks to the analysis and interpretation of data collected on-site, farmers can choose the right type of crop of their area for production, the best moments to implemented, the exact quantity of fertilizer to be applied to their culture, the need for water. a way to boost production while fighting against soil pollution.
Impact of project:
Our solution will bring to the people:
- A new vision that farmers will have of new technologies for agriculture . Indeed, in no place in Africa, farmers have tools to simulate, to predict, select cultures corresponding to their area so as to maximize productivity. This solution is unique for a population accustomed to embark blindly.
- A change of farmer’s behaviors. Indeed, every agricultural project initiated by professional of agriculture or not will always used computer techniques to assess its viability.
- Compulsory learning of ICT .
- The use of the solution requires a minimum of knowledge about the use of internet on mobile phone or on a web platform
- A desire to invest a little more of arable land.
- Rational use of fertilizers through the analysis and interpretation of data collected on-site software.
- The promotion of a healthy agriculture in a healthy environment
Why this project is a Good Practice example:
This project is good insofar as it will allow better management of agricultural projects. With simulation tools and data analysis, farmers can have a clear idea of their production in terms of quality and quantity. They will know what the best moments for culture to be implemented, the exact quantity of fertilizer to be applied to their culture, the need for water quantity. They will be informed at all times of change in their environment and workable cultures in their region. They will have also every information about agriculture issues using mobile phone or our web platform. A great arsenal which aims is to effectively increase production and cope to food insecurity. Impact Evaluation: None Lessons Learned: During this phase of design and analysis, our biggest challenge was to make comparative studies on data collected from farmers, environmental parameters on seeds, soil, humidity, culture, geography of our test area and finally find the right formulas for their modeling and projection of data on our web platform and mobile.
Funders: Innovations and Technologies for African Agriculture (ITEAA)
Primary Contact: Paulin Tsafack Nguena, ITEAA, Project initiator and project manager
Project Dates: beginning
Interventions: Facilitate production diversification,
Target Population: Farmers, Project Stage: Beginning of implementation
Geographic Coverage: State/Province