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The article introduces a website called Food Prices Today that tracks and visualizes daily US food prices using data from the USDA, including benchmark wholesale prices and average retail prices for various commodities.
NASA's SpaceApps challenges are now live, covering topics like agriculture, missions to the Moon and Mars, and microgravity combustion, with team formation open for participation.
Scientists discovered an ancient apple tree that is a living progenitor to many North American apple varieties, rewriting the history of fruit and aiding in future breeding efforts.
This paper explores building self-adaptive physical AI agents using LLMs to manage long-horizon tasks in a zero-shot manner, showing they can adapt effectively to environmental changes compared to reinforcement learning agents.
Fossil fuel price spikes due to the conflict in Iran are driving up fertilizer costs, threatening global agriculture, but companies like Pivot Bio offer cost-competitive microbial alternatives that bypass these price fluctuations.
Engineered microbes with genetic switches could reduce reliance on chemical fertilizers, cutting greenhouse gas emissions and farmer costs. Startup Switch Bioworks is trialing this approach by allowing microbes to thrive before producing ammonia for crops.
Extreme drought in Europe is leading to desertification and threatening ecosystems and industries, with fish farming suffering severe economic losses due to water shortages and high temperatures.
Universitas Gadjah Mada, Indosat, and NVIDIA have launched Indonesia's first university AI center to develop local AI talent and address national challenges in healthcare, agriculture, and disaster response.
The USDA is using infrared drones and AI-assisted imagery analysis to detect screwworm infestations in Texas livestock and wildlife, complementing sterile fly release programs to combat the spread.
Michigan farmer Paul Windemuller built 'The Farm Brain' using Google's Gemini 3.6 Flash, a multi-agent AI system that automates daily performance tracking for dairy farming.
AppliedInt CEO Qasar Younis emphasizes the urgent need for physical AI to address labor shortages and dangerous jobs in farming, trucking, and mining, predicting rapid and significant impact.
A wind turbine in Minnesota is being used to produce zero-carbon 'green ammonia' fertilizer, aiming to decarbonize agriculture and reduce dependence on fossil fuels.
Brazilian farmers tokenized 10 dairy cows on the B3 stock exchange, raising nearly $20,000 in credit backed by livestock, using AI-powered tracking collars to prevent fraud and enable movable collateral.
Delineate Anything v2 is a globally scalable foundation model for agricultural field boundary mapping, outperforming state-of-the-art by 103.3% relative gain in [email protected], using a 73-million-instance multi-resolution dataset spanning 61 countries and a manually curated 100-country evaluation benchmark.
This essay explores the 'conversion trap' where AI delivers intelligence but fails to produce outcomes due to weak infrastructure and delivery systems, using COVID vaccine distribution as an example.
FarmGPT AI is a multi-agent AI farming assistant built by the author for a Kaggle course, featuring crop disease detection, chatbot, farm planner, market intelligence, and a command center.
The FTC settlement with John Deere requires the company to provide farmers and third-party repair shops with equal access to repair tools and software for 10 years, marking a significant victory for the right-to-repair movement.
A California dairy farm adopts vermifiltration, a low-tech method using worms and microbes to reduce methane and water pollution from manure, as part of a broader push to address livestock emissions.
The screwworm, a flesh-eating parasite, has re-emerged in the US for the first time since the 1980s after the sterile male fly barrier at the Darien Gap failed, prompting renewed eradication efforts.
This paper introduces Agri-SAGE, a closed-loop framework that integrates multi-agent LLM reasoning with biophysical simulation (APSIM) to generate and validate context-aware agricultural advisories. The framework outperforms static baselines in retrospective analysis, with Tree-of-Thoughts achieving peak yields and Reflexion reducing computational cost via episodic memory.