In a quickly evolving agricultural panorama, know-how is driving effectivity and sustainability. AgTech Discuss by AgriBusiness World sat down with Ofer Judovits, Co-founder and CEO of Marvin, to debate how geospatial and satellite tv for pc knowledge with synthetic intelligence (AI) is revolutionizing the ag business.
* That is an edited and partial transcript of this podcast.
ABG: Might you elaborate on how geospatial and satellite tv for pc knowledge with AI is remodeling carbon measurement, crop inputs, and provide chain optimization?
Ofer Judovitz: Two main technological revolutions are unfolding in parallel. The primary is the speedy evolution of area know-how, fueled by developments in sensor miniaturization and deployment. SpaceX’s high-frequency rocket launches have drastically lowered the price of launching microwave-sized sensors, making high-resolution, real-time Earth statement knowledge extra accessible than ever. This shift is democratizing spaceborne analytics, unlocking new functions throughout local weather monitoring, precision agriculture, provide chain intelligence, and danger evaluation—industries beforehand constrained by price and knowledge shortage.
Satellite tv for pc know-how has developed past conventional imagery. Excessive-resolution thermal sensors now allow exact measurement of land floor temperatures, offering vital insights for agriculture, forestry, and local weather monitoring. LiDAR know-how is especially beneficial in cloud-heavy areas like Latin America, because it penetrates cloud cowl to generate extremely correct, time-series elevation and biomass knowledge, important for deforestation monitoring and land-use planning. Moreover, ground-penetrating radar (GPR) enhances our capability to research subsurface soil traits, providing key knowledge for carbon sequestration, irrigation administration, and infrastructure resilience. These developments considerably improve geospatial intelligence and decision-making throughout industries.
AI adoption is accelerating, with pc imaginative and prescient and deep studying changing into mainstream. When mixed with superior sensors and numerous knowledge sources, AI can unlock highly effective insights—however uncooked knowledge alone has restricted worth. Enterprise logic and contextual intelligence are important to translate knowledge into actionable methods.
That is the place platforms play a vital function. They remodel uncooked knowledge into real-world options, enabling all the things from yield forecasting and danger evaluation to vendor screening and compliance monitoring. By integrating AI-driven analytics with provide chain dynamics, these platforms can predict market fluctuations, optimize useful resource allocation, and improve regulatory adherence. For giant enterprises, this implies proactive, data-driven decision-making at scale, turning AI into a real aggressive benefit.
