Predicting crop yield is vital for food security, economic stability, and resource efficiency. The research makes use of machine learning (ML) techniques for making crop suitability predictions by ...

Abstract: This paper presents an AI solution that utilizes Convolutional Neural Networks CNNs to detect diseases in crops and flowers with the goal of improving precision and effectiveness in managing ...

Artificial intelligence allows farmers to increase yields by spotting pests and diseases early — and has led to a new wave of indoor growing startups.