University of Wisconsin professor of soil science Jingyi Huang and data scientist Maria Oros worked over the summer on a new modeling tool for soil scientists. The pair used machine learning and ...

Predicted party: 1 (0=Democrat, 1=Republican) This article assumes you have intermediate or better programming skill but doesn't assume you know anything about the Winnow binary classification ...

The Data Science Lab Implementing k-NN Classification Using C# Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical ...

This study presents a Chaotic Jaya Optimization Algorithm with Computer Vision based Soil Type Classification (CJOCV-STC) for smart farming. The presented CJOCV-STC technique applies CV with ...

Smart farming helps to increase yield by smartly deciding the steps that should be practised in the season. A few components of precision farming are recommending the crops for cultivation, predicting ...

Article citations More>> AASHTO M145 (2016) Soil Classification System. American Association of Highway and Transportation Officials. has been cited by the following article: TITLE: Development of ...

One startup develops algorithms to calculate a billion transactions per second, helping farmers and commodity buyers understand how scores of factors can affect their contracts and future emissions.

Credit: Clare Tallamy If you’re looking for a new sport or hobby to try, forget about rock climbing or kitesurfing. If you don’t mind getting a bit dirty, consider competitive soil judging—a contest ...

Multi-label: The researchers trained the algorithm for multi-label skin classification, i.e. it can differentiate between five different categories of skin lesions.

Multi-label: The researchers trained the algorithm for multi-label skin classification, i.e. it can differentiate between five different categories of skin lesions.