A research team led by Prof. Xie Pinhua from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has ...

Predictability in agriculture is about as hard to find as a needle in a haystack. When you’re trying to prevent pest and ...

A team of Master’s students in Data Science and Big Data at Hassan II University in Casablanca has designed an artificial ...

This paper presents a deep learning framework using convolutional neural networks (CNNs) and recurrent neural networks (RNNs) for crop yield prediction based on environmental ... we found this ...

Abstract: This paper presents the various crop yield prediction algorithms using machine learning techniques. In the Indian economy, agriculture plays an important role and it is the most generally ...

Estimating crop yields before harvest ... This can be accomplished using machine learning algorithm KNN and image processing. Based on the results of the prediction analysis, machine learning ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Nonetheless, this population was quite diverse and was suitable for a yield prediction ... machine learning as a discipline, a relentless pursuit of model evaluation and comparison is critical. Yet, ...

Think of a crop protection ... imagery and machine learning to identify red crown rot hot spots in the field,” he told lawmakers. “We train the models with high resolution spectral data from visible ...