In a major step toward securing global food supplies and advancing sustainable agriculture, a team of scientists has proposed ...

Nitrogen fertilizers used in agriculture contribute significantly to global warming. A new breeding concept, specifically for ...

Purdue researchers use AI to decode cities, monitor cattle health, and boost crop yields for a sustainable future.

Artificial intelligence (AI) refers to machine-based systems that analyze input data to generate predictions, recommendations, or decisions, 1 AI-based and machine learning (ML)-based technologies ...

Data Preprocessing: Cleaning, normalizing, and integrating data for effective analysis. Model Development: Employing machine learning models (e.g., LSTM, ARIMA, SVM) for weather prediction, crop ...

A new machine-learning model for predicting crop yield using environmental data and genetic information can be used to develop new, higher-performing crop varieties.

Keywords: artificial intelligence, machine learning, deep learning, precision crop improvement, prediction model Citation: Khatibi SMH and Ali J (2024) Harnessing the power of machine learning for ...

The dataset is designed to support advancements in machine learning for crop classification by providing a comprehensive, multi-class labeled dataset suitable for few-shot learning. This large and ...