Title : A data-driven approach to enhance the agriculture ecosystem
A Data-Driven Approach to Enhance the Agriculture Ecosystem
Manik Mahmud and Tanvir Quader
Manik Mahmud, a2i (Aspire to Innovate), Dhaka, Bangladesh, [email protected]
Tanvir Quader Emon, a2i (Aspire to Innovate), Dhaka, Bangladesh, [email protected]
Barind Tract, a lowland area in the northwest region of Bangladesh, is one of those cases where water scarcity is a significant challenge for an efficient production system. Due to the extremely dry nature of the climate, there is very little rainfall within that area which fails to replenish the groundwater system correctly. As a result, it becomes an arid region. In addition, the low irrigation efficiency makes the production cost of agricultural products more cost-inefficient within that area. Overall, the adverse effects of multiple challenges cause smallholder farmers to face unsustainable livelihoods.
The solution to this challenge is to make a data driven ecosystem for farmers and other stakeholders in agriculture sector. Data driven decision making is pivotal to the agriculture sector because different crops have a diverse variety of biodiversity. Farmers need granular data on rainfall patterns, water cycles, fertiliser requirements, and more to ensure a sustainable agricultural system. Big Data Farming has proven to be an effective technique for gathering and analysing agricultural data from private and public stakeholders, social media, sensors, GPS, and private and other internet sources. Big Data farming is a highly automated operation that necessitates accurate production estimates and optimal water resource management. The use of technology such as the internet of things (IoT), Big Data Farming, cloud computing, and analytics will enable farmers to enhance the entire process in real-time significantly. Therefore, a data dashboard platform for tracking and monitoring agriculture data will assist the policymaker in making data-driven decisions for the betterment of smallholder farmers by allocating agriculture inputs like seeds, fertilisers, and pesticides and managing resources for the betterment. The Data dashboard will ensure climate-sensitive forecasting for the farmers to make production and harvesting more efficient. It will also focus on collecting big data from various sources, analysing them and generating insight. The digital approach toward agricultural enhancement will benefit the farmers, policymakers, and other stakeholders by generating the following list of benefits:
- Agri data warehouse
- Big data collection techniques
- Big data analytics and visualisation platform
- Climate forecasting
- Data literacy capacity development
- Dashboard for policymakers ’decision making
What will audience learn from your presentation?
(Try to list 3-5 specific items)
- Explain how the audience will be able to use what they learn?
- guideline to tackle agricultural challenges
- Sustainable approach towards digital agriculture
- A practical solution for a software architect in designing a sustainable solution
- Interoperable system design
Biography of presenting author (should not exceed 100 words)
Tanvir Quader is a software designer at the a2i (Aspire to Innovate). He architects and researched many practical designs for the government of Bangladesh in health and agriculture initiatives.
Details of presenting author to be mentioned in certificate:
Name: Tanvir Quader
Presentation Category: Oral Presentation
Email: [email protected]
Contact Number: +880 1712-927449