Food security News and Research

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AI-Powered Dashboard Helps Food Pantries Tackle Disaster Food Insecurity

University of Houston researchers are developing an AI-powered dashboard to help food pantries in Florida coordinate disaster relief and reach food-insecure families more efficiently. The $300,000 USDA-funded project builds on lessons from Hurricane Harvey and aims to expand nationwide.

19 Aug 2025

AI-Powered Model Pinpoints Human Impact on Dryland Water Use and Lake Loss

A new study presents an advanced remote sensing and machine learning model that accurately distinguishes between natural and human-driven water consumption in arid croplands. Findings from the Ebinur Lake Basin show agriculture now drives 77% of cropland water use, with profound implications for regional water security.

26 May 2025

Machine Learning Unlocks Secrets of Crab Seismic Courtship Dances

Male fiddler crabs use vibrational signals during courtship that honestly reflect their physical size, allowing females to assess mate quality from a distance. Oxford researchers used geophones and machine learning to decode over 8,000 seismic signals, revealing clear behavioural patterns.

10 Apr 2025

AI Models Break Barriers in Protein Discovery and Supercharge Precision Medicine

Researchers have developed two advanced AI models, InstaNovo and InstaNovo+, that significantly improve accuracy in de novo peptide sequencing. These tools surpass current methods in identifying unknown proteins, offering breakthroughs in proteomics and personalised medicine.

1 Apr 2025

AI and Big Data Drive the Future of Crop Breeding with Intelligent Precision

Researchers highlight how AI and big data are transforming crop breeding, ushering in "Breeding 4.0" with intelligent, data-driven precision to enhance global food security.

2 Mar 2025

Quantum Deep Learning Boosts Rice Yield Forecasting

A hybrid quantum deep learning model was developed for rice yield forecasting, combining quantum computing with BiLSTM and XGBoost techniques. This model significantly improved prediction accuracy, supporting global agricultural planning and food security efforts.

18 Aug 2024

Advanced ML Model Predicts Potato Blight

Machine learning models predicted potato leaf blight with 98.3% accuracy using over 4000 weather records. Techniques like K-means clustering, PCA, and copula analysis identified key weather factors. Feature selection significantly enhanced model precision, aiding proactive disease management in agriculture.

1 Aug 2024

Predicting Rice Production with Precision Using AI

Researchers in Scientific Reports introduced an AI-based approach to predict rice production in China using multi-source data. Hybrid models, particularly RF-XGB, outperformed single models in accuracy, emphasizing the importance of soil properties and sown area over climate variables in determining rice yields.

8 Jul 2024