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Digital Ag Global is a podcast where we talk about the ever-evolving world of AgTech! This podcast is designed for everyone passionate about the digital transformation in agriculture.
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Remote sensing is transforming agriculture by giving growers and agribusinesses access to field insights at an unprecedented scale. But how does satellite imagery become actionable intelligence, and how are these technologies being used in real farming operations?In this episode of Digital Ag Global, we're joined by Yevhenii Marchenko, Crop Monitoring Intelligence Specialist at EOS Data Analytics, and Luděk Novák, CEO of Agrinova Consulting.Together, we'll explore how satellite data is converted into agronomic insights, how remote sensing supports crop monitoring and farm management, and what it takes to turn complex analytics into practical decisions. We'll discuss real-world applications, common misconceptions, current limitations, and the evolving role of AI in making remote sensing more accessible and valuable for agriculture.Bringing together perspectives from both a leading satellite analytics provider and an agricultural consulting company working directly with farmers, this conversation offers a unique look at how remote sensing is being applied across the agricultural value chain today—and where it's headed next.Whether you're a farmer, agronomist, agribusiness professional, AgTech innovator, or simply interested in the future of digital agriculture, this episode will provide valuable insights and practical perspectives.
Join Digital Ag Global hosts Clyde Graham and Yurii Kovalchuk for a live conversation with Cory Willness, CEO and Co-Founder of Croptimistic Technology Inc.Topic: Beneath the Surface: How SWAT Maps Define Field VariabilityCroptimistic is known for its proprietary SWAT MAPS (Soil, Water And Topography Maps), which integrate multiple layers of soil data into a single foundation zone map used for soil sampling and soil-applied product prescriptions.In this episode, we'll discuss how field variability can be better understood through the integration of soil, water, and topography data, and the role of SWAT Maps within modern precision agriculture.Cory has spent his career working hands-on with agronomy and agtech tools and leads Croptimistic with a vision of becoming the global leader in premium precision agriculture services.Digital Ag Global brings together agricultural leaders, innovators, and technology experts to discuss the trends, technologies, and ideas shaping the future of agriculture.
Digital Ag Global: Smart Algorithms in AgTech — Building Forecasting & Intelligence SolutionsArtificial intelligence in agriculture is evolving far beyond dashboards and marketing buzzwords.In this episode of Digital Ag Global, we explore what it really takes to build forecasting and intelligence systems that can support real agricultural decisions — from yield forecasting and nitrogen efficiency to carbon quantification, climate reporting, and agronomic optimization.Joining us is Tatiana Boussange, General Director & Co-founder of Armosys, a spin-off from the University of Milan behind ARMOSA — a process-based modelling engine designed to power carbon, climate, and productivity intelligence across agricultural supply chains.Together, we’ll discuss:• What “smart algorithms” in agriculture actually mean today• The difference between scientific engines and simple analytics dashboards• Which agricultural problems are truly ready for algorithmic decision-making• Why data quality matters more than model complexity• The role of soil, weather, satellite, and management data in forecasting systems• How companies build defensible, audit-ready intelligence solutions for carbon and Scope 3 reporting• Why regional calibration is critical for credible outputs• The future of AI, process-based models, and algorithmic decision-making in agricultureWe’ll also examine one of the biggest shifts happening in AgTech right now: the move from isolated sustainability reporting toward integrated decision engines that combine productivity, carbon, climate, and operational intelligence into a single system.This conversation is especially relevant for:→ AgTech founders→ Food & agrifood companies→ Carbon and MRV platforms→ Sustainability leaders→ Agronomists and technical advisors→ Precision agriculture innovators→ Data and AI teams building agricultural solutionsHosted by Yurii Kovalchuk and Clyde Graham on Digital Ag Global.
What is computer vision in agriculture, and what are its practical applications? We are talking about the real use cases for farmers, real challenges, and solutions on the market. The most pressing and inconvenient topics you need to know to apply computer vision with the most benefits. 🎤 Meet the speakers:🔹 Clyde GrahamAg Consultant based in Ottawa, Qaltivate’s local partner in Canada and co-host of Digital Ag Global.🔹 Yurii KovalchukCEO of Qaltivate and co-host, bringing a technology and product perspective on AgTech innovation.🔹 Craig GanssleCEO & Founder of Farmwave, applying computer vision for agriculture in real-world farming operations.
🔴 In this episode of Digital Ag Global, we explore how financial innovation can unlock growth across the agri-food value chain.🎙️ Our guest speakerOluwadara (Dara) Adekunle, Founder of Farmties Capital LimitedDara Adekunle is a development finance professional with over 10 years of experience across agribusiness, renewable energy, and investment development.She is the founder of Farmties Capital, a firm focused on innovative financing and market access solutions for agribusinesses across emerging markets.📍 What We’ll Discuss1. How Farmties originally started as an AgTech platform2. Why technology alone couldn’t solve the biggest barriers in agriculture3. Financing the Agri-Food Value Chain4. Where financing gaps appear across the value chain5. How financial innovation can unlock participation in global commodity markets🚀 Join the Conversation
In this episode of Digital Ag Global, we’re talking about commodities in the agri-food value chain with Dmitry Mykhalchuk, Partner at GrainTrack.Commodities sit at the center of how modern agri-food markets work — from farm gate to processors, traders, and global buyers. But behind the headlines about prices and markets, there is a much more practical layer: data, logistics, contracts, risk management, and day-to-day operational decisions.Together with Dmitry, we’ll discuss:How commodity flows really move through the agri-food value chainWhere the biggest operational and data bottlenecks appear todayHow companies think about transparency, tracking, and control in commodity operationsWhat role digital tools play in making these processes more predictable and manageableAnd what changes matter in practice for producers, traders, and agri-food businessesThis is a practical conversation for people working in agriculture, food processing, trading, and agri-tech who want a clearer view of how commodity value chains actually function — and where technology and better data can make a real difference.
In this episode of Digital Ag Global, we explore how machine learning and AI are changing the landscape of food logistics — from forecasting demand to improving decision-making across the supply chain.Our hosts are joined by Jan-Willem Snoeker, Founder & CEO of Merqato, a company applying AI and data science to the fruit and vegetable industry. The conversation looks at how food demand forecasting is evolving, why forecasting remains one of the biggest challenges in food logistics heading into 2026, and how AI-driven approaches can improve pricing, volume planning, and sustainability outcomes.We discuss the role of AI demand forecasting, the limitations of traditional planning methods, and how modern food demand forecasting software helps businesses respond to volatile markets, shifting consumer behavior, and operational constraints. The episode also touches on the broader impact of data, machine learning, and forecasting accuracy on profitability and resilience in food supply chains.This discussion is relevant for food producers, logistics providers, wholesalers, retailers, and AgTech professionals interested in the future of AI-powered food logistics and smarter, more sustainable supply chains.
🎄 Happy Holidays from Digital Ag Global | Agriculture Podcast Year in Review 🌍As the year comes to a close, the hosts of Digital Ag Global — Yurii Kovalchuk and Clyde Graham — take a moment to reflect on the biggest conversations, insights, and lessons from the world of digital agriculture.In this special holiday edition of our agriculture podcast, we look back at a year shaped by innovation, AI in agriculture, smart farming technologies, data-driven decision-making, and real voices from the field. From AgTech startups to enterprise solutions, our discussions explored how technology is transforming farming, food systems, and the future of agriculture worldwide.This video is also our way of saying thank you — to our guests, partners, and listeners who joined us throughout the year and helped make Digital Ag Global a trusted space for open, practical conversations about agricultural technology.🎁 In this Christmas podcast episode, you’ll find:A short year-in-review from Digital Ag GlobalReflections on AI in agriculture and digital transformationHoliday greetings to the global agriculture and AgTech communityA look ahead at what’s coming next for the podcastWhether you’re a farmer, AgTech founder, agronomist, or technology leader, we hope this message leaves you inspired going into the new year.🌱 Thank you for being part of our journey.Happy Holidays, Merry Christmas, and see you in the new year with more insights from the field.
Digital Ag Global is a podcast where we talk about the ever-evolving world of AgTech! This podcast is designed for everyone passionate about the digital transformation in agriculture.
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