Achieving Both Yield Increase and Farm Area Expansion in Large-scale Paddy Farming by Accumulating and Utilizing Agricultural Data and Smart Agricultural Machinery

Shimizu Yukari, Itaya Kyohei, Terasaki Ryo, Ishikawa Tetsuya

doi:10.3173/air.33.14

<p>We examined the conditions required to achieve both scale expansion and yield increase by using farming data and smart agricultural machinery in large-scale rice-paddy management. Actions from 2020 to 2022 by two large-scale paddy farm management corporations in Ibaraki Prefecture were examined from the perspective of data-driven agricultural production, rice yield per 0.1 ha, rice production cost, and operation of autopilot rice transplanter. These two corporations actively introduced smart agricultural machines and hired new employees. They expanded their operating areas by more than 40 ha each in 3 years, but their rice production costs per 0.1 ha and per harvest were reduced. For timely and appropriate cultivation management during the phase of rapid expansion, these two corporations implemented data-driven management improvements by building field-specific datasets and predicting growth by using a cultivation-management support system. They also readjusted their planting order and cultivation methods to suit each cultivar. As a result, even though the area of cultivated fields under their management increased rapidly, they were able to manage cultivation in an appropriate and timely manner. To increase yields in the phase of scale expansion, it is necessary simultaneously to improve land conditions by consolidating neighboring fields, improve work efficiency by operating smart agricultural machinery, and improve cultivation management by analyzing collected farming data.</p>

Achieving Both Yield Increase and Farm Area Expansion in Large-scale Paddy Farming by Accumulating and Utilizing Agricultural Data and Smart Agricultural Machinery

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