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Granular monitors labour and equipment expenses

07-02-2020 | |
Granular monitors labour and equipment expenses
Granular monitors labour and equipment expenses

Granular let’s farmers asses the impact of labour and equipment expenses on their profitability.

Farm management software platform Granular announced a new functionality designed to help farmers easily assess the impact of labor and equipment on their profitability across the operation, down to the field level.

Manage team productivity

The tool builds on existing features and is to enable farmers to more efficiently manage team productivity and coordination across tasks. Equipment cost analysis can be customised to evaluate such items as fuel expenses, machine wear-and-tear, and payment data.

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Equipment cost analysis can be customised to evaluate such items as fuel expenses, machine wear-and-tear, and payment data. - Photo: Jan Willem Schouten

Equipment cost analysis can be customised to evaluate such items as fuel expenses, machine wear-and-tear, and payment data. – Photo: Jan Willem Schouten

Detailed labour and equipment costs

On average, labour and equipment expenses account for up to 25 percent of a farm’s budget, says Granular. According to the subsidiary of Corteva Agriscience farmers often struggle in-season to quickly pinpoint true costs and productivity differences for their work crew and equipment fleet. Granular’s new features can collect detailed labour and equipment costs based on actual work completed in the field.

‘Clear view of field-level profitability’

“Farmers need a clear view of their field ROI, and the new labor and equipment features improve that level of detail,” said Andrew Meyers, Vice President of Product at Granular. “As farmers manage rent negotiations, implement crop plans, and consider expansion, they must have an accurate view of their financials to make the best decisions for their operation. This added functionality provides a clear view of field-level profitability.”

Claver
Hugo Claver Web editor for Future Farming





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