Agrivi

Key Takeaways – Pest Trap Detection Timing Pest trap detection timing in Mediterranean specialty crops decides whether a pest pressure event requires one spray or three. Pest populations in medfly, codling moth, and oriental fruit moth follow a 3 to 7 day exponential growth curve under warm conditions. Detection on day 3 allows precise, narrow-spectrum Read more The post Pest Trap Detection Timing Decides Spray Economics in Specialty Crops appeared first on AGRIVI .

Key Takeaways – AI Competitive Advantage At Adria Business Forum 2026 in Zagreb, AGRIVI CEO Matija Zulj represented the agri-food technology sector in a panel on artificial intelligence and competitive advantage alongside leaders from pharma, automotive, AI platforms, and industrial robotics. Later that day, 2024 Nobel laureate James A. Robinson spoke on why nations fail Read more The post Why AI Competitive Advantage Depends on Systems: Matija Zulj at Adria Business Forum 2026 appeared first on AGRIVI .

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 and Read more The post Coffee Value Chain Data Infrastructure Is Rebuilding From the Ground Up appeared first on AGRIVI .

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 by Read more The post How Specialty Crop Farms Are Using Block-Level Data to Improve Seasonal Decisions appeared first on AGRIVI .

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 (months Read more The post Building an AI Advisory Program for Agricultural Input Companies: A Practical Guide appeared first on AGRIVI .

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 April Read more The post Mediterranean Specialty Crop Water Management in a Drought-Pressured Season appeared first on AGRIVI .

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 CSRD Read more The post CSRD Compliance Food Companies: Where Farm-Level Data Fits in Your Reporting Strategy appeared first on AGRIVI .

The conversation at EIC Summit 2026 in Brussels delivered a sharper message than many expected about scaling innovation globally. European innovators do not lack ambition. Furthermore, they do not lack technology. What many lack is the operational discipline to convert funding and breakthrough ideas into international commercial outcomes. Indeed, going global requires more than capital, Read more The post Beyond Funding: Why Scaling Innovation Globally Is an Execution Challenge appeared first on AGRIVI .

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 designed Read more The post Reaching Farms Outside the Sales Call Cycle: AI Advisory and the Distributor Network Gap appeared first on AGRIVI .

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 the Read more The post How Pest Trap Integration Closes the Gap Between Field Data and Farm Decisions appeared first on AGRIVI .

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 to Read more The post CSRD Food Traceability: What the Regulation Actually Requires From Your Supply Chain appeared first on AGRIVI .