Development of a Robust Sensor Calibration for a Commercially Available Rising Platemeter to Estimate Herbage Mass on Temperate Seminatural Pastures

Sensors (Basel). 2024 Apr 5;24(7):2326. doi: 10.3390/s24072326.

Abstract

Rising platemeters are commonly used in Ireland and New Zealand for managing intensive pastures. To assess the applicability of a commercial rising platemeter operating with a microsonic sensor to estimate herbage mass with its own equation, the objectives were (i) to validate the original equation; (ii) to identify possible factors hampering its accuracy and precision; and (iii) to develop a new equation for heterogeneous swards. A comprehensive dataset (n = 1511) was compiled on the pastures of dairy farms. Compressed sward heights were measured by the rising platemeter. Herbage mass was harvested to determine reference herbage availability. The adequacy of estimating herbage mass was assessed using root mean squared error (RMSE) and mean bias. As the adequacy of the original equation was low, a new equation was developed using multiple regression models. The mean bias and the RMSE for the new equation were overall low with 201 kg dry matter/ha and 34.6%, but it tended to overestimate herbage availability at herbage mass < 500 kg dry matter/ha and underestimate it at >2500 kg dry matter/ha. Still, the newly developed equation for the microsonic sensor-based rising platemeter allows for accurate and precise estimation of available herbage mass on pastures.

Keywords: decision support; pasture management; sensor technology; temperate grasslands; validation.

MeSH terms

  • Calibration*
  • Farms
  • Ireland

Grants and funding

This research was conducted within the projects GrazyDaiSy (grant number 2817OE011), and DiWenkLa (Digital Value Chains for a Sustainable Small-Scale Agriculture, grant number 28DE106A18). GrazyDaiSy was supported by funds of the Federal Ministry of Food and Agriculture (BMEL) based on a decision of the parliament of the Federal Republic of Germany via the Federal Office for Agriculture and Food (BLE) under the Federal Programme for Ecological Farming and Other Forms of Sustainable Agriculture. The project DiWenkLa (Digital Value Chains for a Sustainable Small-Scale Agriculture) is supported by funds of the BMEL based on a decision of the Parliament of the Federal Republic of Germany. The BLE provides coordinating support for digitalization in agriculture as funding organisation. DiWenkLa is also supported by the Ministry for Food, Rural Areas and Consumer Protection Baden-Württemberg. We further acknowledge the German Federal Environmental Foundation for providing a scholarship for Sari Perdana-Decker (AZ: 20019/610).