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Trev says its integration with LIC’s MINDA herd improvement software further strengthens performance.
Farm software outfit Trev has released new integrations with LIC, giving farmers a more connected view of animal performance across the season and turning routine data capture into actionable farm intelligence.
The integrations bring liveweight and animal records into Trev alongside feed, production and operational data, creating a single source of truth for farm performance and enabling clearer decision-making year-round. Trev is an operational farm management software platform that centralises farm information.
The integration with LIC's MINDA herd improvement software further strengthens performance tracking by bringing core animal and herd records into Trev.
"The MINDA integration has been the number one request from our farmers," says Scott Townshend, Trev chief executive.
"So, we're delighted to deliver it, reducing the friction of double handling data and helping farmers get more performance value from information they already collect."
Blair Smith, LIC's head of farm software, says the integration is designed to better support on-farm decisions.
"MINDA is a unique herd improvement platform, built to help farmers measure, compare and improve herd performance over time," says Smith. "By integrating with Trev, that high quality animal data can be rolled up with wider farm information, giving farmers a clearer view of what's driving results across their business."
These integrations extend Trev's ecosystem, including Fonterra's Farm Dairy Records, Figured, and Trev's own API for secure, farmer-approved data sharing. Together, Trev’s integrations support a more complete view of farm performance by linking animal, production and financial data to inform better decisions across the season.
On farm, this connected approach is said to support clear performance targets and earlier intervention. Farms tracking young stock performance can automatically monitor whether calves and heifers are meeting defined liveweight targets at key seasonal milestones, including weaning, grazing transitions and entry to calving.
Mobs falling behind can be identified earlier, before impacts are felt at mating or calving, with growth performance linked back to feed inputs and management decisions.
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