Two projects are receiving support from the USDA 2025 Specialty Crop Block Grant Program. Two interdisciplinary research ...

In a world where agriculture is confronted with unprecedented challenges—such as climate variability, emerging pathogens, and ...

In a world where agriculture is confronted with unprecedented challenges—such as climate variability, emerging pathogens, and soil degradation, in addition ...

Researchers at College of Food, Agricultural and Natural Resource Sciences are using AI to detect patterns across landscapes, atmospheres and ecosystems at scales that were previously impossible.

A new robot could solve one of the biggest challenges facing indoor farmers: manual pollination. Indoor farms, also known as ...

Two new projects are advancing rice breeding strategies to improve productivity of main and ratoon crops, and health benefits of purple rice.

On February 11, Anthony Hanson, a UMN Extension educator that specializes in integrated pest management and Jochum Wiersma, UMN Extension small grains agronomist joined UMN Extension crops educator Ry ...

A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...

Abstract: Mobile traffic prediction is an important enabler for optimizing resource allocation and improving energy efficiency in mobile wireless networks. Building on the advanced contextual ...

The Seattle Seahawks will take on the New England Patriots in the 2026 Big Game at Levi's Stadium on Sunday, February 8. One option for a potentially massive payout is a Seahawks vs. Patriots score ...

Abstract: Crop prediction plays a pivotal role in agricultural planning and management. This study proposes a comprehensive approach utilizing machine learning models to predict crop types based on ...

Step 1: FETCH PRICES (Every 2 seconds) ├─ Calls CoinMarketCap API ├─ Gets current price for BTC, ETH, SOL, etc. └─ Example: BTC = $107,850.23 Step 2: COMPUTE INDICATORS (90 total) ├─ RSI (shows if ...