Blog

Key Takeaways – Coffee Value Chain Data Coffee value chain data infrastructure is consolidating around verified agronomic knowledge, not around AI model quality.Input companies that build local-language content with structured knowledge bases reach more coffee farmers than those using general models. Three shifts in the last 18 months: local-language AI advisory scaling in Colombia andRead more

Key Takeaways – Specialty Crop Farm Management Specialty crop farm management requires block-level data visibility to handle the complexity of multi-variety operations across hundreds of blocks. The shift from farm-level to block-level data visibility is the single most impactful operational change a large specialty crop operation can make. Block-level data changes four areas: planning byRead more

Key Takeaways – an AI Advisory Program for Agriculture An AI advisory program for agriculture gives agri-input companies a scalable way to reach every farmer with personalized agronomic advice. A well-built program combines five components: agronomic knowledge base, personalization engine, brand alignment, lead detection, and engagement analytics. The first year follows four phases: setup (monthsRead more

Key Takeaways Specialty crop water management in Mediterranean climates is shifting under 2026 drought pressure from scheduled irrigation to data-driven block-level decisions. Farm managers who see water status per block daily are making mid-season adjustments. Those relying on weekly manual checks cannot. The European Drought Observatory reported below-average soil moisture across Southern Europe through AprilRead more

CSRD compliance food companies must collect a type of data that most organisations have never systematically tracked: farm-level environmental and operational information from their agricultural supply chain. The EU Corporate Sustainability Reporting Directive does not just ask what happens inside your facilities. It also asks what happens at the farms you source from. For CSRDRead more

In most agri-input markets, field sales teams directly cover 20 to 30% of farms by volume, while the remaining 70 to 80% is reached through distributor networks, indirect programme communications, or not actively reached at all. That is not a failure of the sales team. It is a structural feature of a go-to-market model designedRead more

Electronic pest traps have changed how farms monitor insect pressure. Instead of relying on weekly scouting visits alone, agronomists now track pest activity through automated devices. These devices capture and count target species in near real time. Yet in most operations today, that trap data lives in a standalone system. It sits apart from theRead more

Most food and beverage companies expected CSRD to mean better internal sustainability reporting: cleaner energy data, more precise emissions tracking, improved packaging metrics. However, what many discovered later is that CSRD food traceability reaches significantly deeper than internal operations. The data requirements extend into the supply chain, and in many cases, all the way toRead more

Budget vs. actual farm management is the most powerful in-season tool available to a farm operator, yet most operations use it as a rear-view mirror rather than a dashboard. Every farm sets a seasonal budget. Most discover how far they drifted from it at harvest. The gap between the budget established in February and theRead more

Farm cost tracking mid-season starts with one uncomfortable truth: the most expensive moment in cost management is not when costs overrun, it is when management finds out. In most large-scale farming operations, the gap between what is happening in the field and what finance knows about it spans weeks, sometimes months. By the time theRead more