AI and IOT in Agriculture: Sensor-aided Yield Mapping for Data-driven Decisions

Dr. F H Ansarey: Yield sensors can provide valuable insights into crop productivity. They can collect data during the harvesting process, capturing information on yield amounts, fuel consumption, and working areas for the harvester. Using statistical analysis and yield mapping techniques, we can gain a comprehensive understanding of our crops’ productivity.

Through a combination of Artificial Intelligence (AI) and Sensor driven technology, a color-coded display of the production of each field enables this yield information, which was previously comprehended sensory and roughly, to be put to use for productivity improvement. Specifically, the availability of accurate field-by-field data on the variation in harvest quantity means it can be used as feedback for fertilizer planning for the coming year, reducing unnecessary spending on fertilizer and achieving stable yields. Generated yield maps and historical data can empower us to optimize resource allocation, adjust planting strategies, and implement targeted interventions to improve crop yield at a micro level.

Yield sensors can measure total crop yield not only at the farm level but also at larger scales, such as upazillas, districts, or even entire countries. This broader perspective is vital for policymakers, researchers, and agricultural organizations to make informed decisions regarding resource allocation, policy planning, and implementation of best practices. Agri-businesses can also strategize their products and services based on these insights, catering to the diverse needs of different locations. Besides, these data can be used to suggest tailored solutions for our farmers and field workers using AI. With ACI’s Yanmar Harvesters and its Smart Assist Remote (SA-R) technology, we are piloting the possibilities in Bangladesh. To succeed at the macro level, we need to build and curate a large data set. For that, we need more adoption of these technologies across a wider area of the country.

This technology has all the potential to make data-driven decisions seamless, leading to improved resource management, enhanced crop yield, and ultimately, increased profitability.

-Writer: President, ACI Agribusinesses Division