Application of a U-Net Neural Network to the Maize Pathosystem.

Computer vision approaches to analyze plant disease data can be both faster and more reliable than traditional, manual methods. However, the requirement of manually annotating training data for the majority of machine learning applications can present a challenge for pipeline development. Here, we describe a machine learning approach to quantify incidence on maize leaves utilizing U-Net convolutional neural network models.

Extending Shelf Life of Refrigerated Catfish Fillets Using Sodium Acetate and Monopotassium Phosphate.

The effects of sodium acetate (SA) and monopotassium phosphate (MKP) on total aerobic plate counts (APC), pH, odor, and appearance of catfish fillets during storage at 4°C were determined. Use of 0.75% and 1.