Agro-Consensus: Semantic Self-Consistency in Vision-Language Models for Crop Disease Management in Developing Countries

A new framework for improving vision-language models in agricultural disease management has been introduced, particularly benefiting developing countries like India, Kenya, and Nigeria. This innovative approach addresses the challenges of limited access to experts and unreliable internet, making AI systems more accessible and effective for farmers. By enhancing the reliability of image captioning in agriculture, this development could significantly aid in managing crop diseases, ultimately supporting food security and economic stability in these regions.