AI & Environment Resource HubS P Mohammed; J Deepika; N Sritharan; V Ravichandran; M Prasanthrajan; P Kannan · 2025-01-29
AI enhances precision agriculture through data-driven crop management, irrigation optimization, and pest control, but gaps remain in nutrient management and sensor integration.
S P Mohammed; J Deepika; N Sritharan; V Ravichandran; M Prasanthrajan; P Kannan. 2025-01-29. A Systematic Literature Review On Artificial Intelligence In Transforming Precision Agriculture For Sustainable Farming: Current Status And Future Directions. https://horizonepublishing.com/journals/index.php/PST/article/view/6175 (AI & Environment Resource Hub; record paper-105; collection snapshot 2026-09-15).
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Shared topics: Cross-cutting sustainability; Research tools and geospatial methods; Agriculture and food
The study examines how emerging technologies like AI, IoT, machine learning, and remote sensing are revolutionizing agriculture by enabling precision farming, optimizing resource use, and addressing challenges of food production under climatic uncertainty.
Shared topics: Cross-cutting sustainability; Research tools and geospatial methods; Agriculture and food
Earth Map is an innovative, free and open-source tool developed by the Food and Agriculture Organization of the United Nations (FAO) in the framework of the FAO - Google partnership. It was created to support countries, research institutes, farmers and members of the general public with internet access to monitor their land in an easy, integrated and multi-temporal manner. It allows everyone to visualize, process and analyze satellite imagery and global datasets on climate, vegetation, fires, biodiversity, geo-social and other topics. Users need no prior knowledge of remote sensing or Geographical Information Systems (GIS).
Shared topics: Cross-cutting sustainability; Research tools and geospatial methods; Agriculture and food
Natural language search for satellite and aerial imagery via geo-embeddings — 'search satellite and aerial imagery the way you'd search the web.' Includes a developer API and Discover, a free web app for exploring geospatial data. Applications: biomass measurement, damage mapping, wind/solar farm tracking, oil rig and vessel detection.
Shared topics: Cross-cutting sustainability; Research tools and geospatial methods
Philip Johnston is the co-founder and CEO of Starcloud, the company building data centers in space. In November 2025, Starcloud launched an Nvidia H100 GPU into orbit and trained the first large language model in space. They've since raised $200 million, hit a billion-dollar valuation just 17 months after YC demo day and filed with the FCC to deploy 88,000 more satellites. In this episode, Philip walks us through their wild origin story, the engineering challenges behind the Starcloud-1, why they booked a SpaceX launch before they even knew what they were building and how data centers in space make sense both economically and politically.