Optimising Farm Area Allocations Based on Soil Moisture Thresholds: A Comparative Study of Two Dairy Farms with Distinct Soil and Topographic Features DOI Creative Commons
Rumia Basu, Owen Fenton, Gourav Misra

et al.

Agriculture, Journal Year: 2025, Volume and Issue: 15(9), P. 920 - 920

Published: April 23, 2025

On intensive dairy farms, good decision making regarding application of fertilisers and irrigation requires an understanding soil moisture conditions. Targeted fertiliser not only contributes to high nutrient use efficiency but reduces the potential for leaching nutrients controls emissions from farms. This calls development improved farm management support system focussed on precision agriculture solutions sustainable agriculture. Knowledge at resolution scale can help develop such while same time reducing risk compaction by machinery and/or animals, especially under wet The objective this study is examine compare two with similar average annual rainfall contrasting (but drainage) topographic characteristics, their resilience towards extreme conditions (e.g., saturation or drought). Soil thresholds optimal corresponding area proportions were calculated, identifying areas targeted management. addresses knowledge gap including high-resolution satellite derived as a variable in designing systems Farm 1 was situated drumlin belt, whereas 2 had lowland terrain, representing major land cover categories Ireland. results showed that more resilient topography heterogeneity act buffer regulating regimes farm, preventing movement extremes. Across years, less variability could be managed better than terms overall productivity weather droughts, even drought year. along variations type, features also dictate water therefore

Language: Английский

Optimising Farm Area Allocations Based on Soil Moisture Thresholds: A Comparative Study of Two Dairy Farms with Distinct Soil and Topographic Features DOI Creative Commons
Rumia Basu, Owen Fenton, Gourav Misra

et al.

Agriculture, Journal Year: 2025, Volume and Issue: 15(9), P. 920 - 920

Published: April 23, 2025

On intensive dairy farms, good decision making regarding application of fertilisers and irrigation requires an understanding soil moisture conditions. Targeted fertiliser not only contributes to high nutrient use efficiency but reduces the potential for leaching nutrients controls emissions from farms. This calls development improved farm management support system focussed on precision agriculture solutions sustainable agriculture. Knowledge at resolution scale can help develop such while same time reducing risk compaction by machinery and/or animals, especially under wet The objective this study is examine compare two with similar average annual rainfall contrasting (but drainage) topographic characteristics, their resilience towards extreme conditions (e.g., saturation or drought). Soil thresholds optimal corresponding area proportions were calculated, identifying areas targeted management. addresses knowledge gap including high-resolution satellite derived as a variable in designing systems Farm 1 was situated drumlin belt, whereas 2 had lowland terrain, representing major land cover categories Ireland. results showed that more resilient topography heterogeneity act buffer regulating regimes farm, preventing movement extremes. Across years, less variability could be managed better than terms overall productivity weather droughts, even drought year. along variations type, features also dictate water therefore

Language: Английский

Citations

0