Cotton Fusarium wilt diagnosis based on generative adversarial networks in small samples.

This study aimed to explore the feasibility of applying Generative Adversarial Networks (GANs) for the diagnosis of Verticillium wilt disease in cotton and compared it with traditional data augmentation methods and transfer learning. By designing a model based on small-sample learning, we proposed an innovative cotton Verticillium wilt disease diagnosis system. The system uses Convolutional Neural Networks (CNNs) as feature extractors and applies trained GAN models for sample augmentation to improve classification accuracy.

First Report of Orobanche cumana on Coleus in Xinjiang, China.

Coleus (Plectranthus scutellarioides [L.] R.Br.

Study on the nitrogen content estimation model of cotton leaves based on "image-spectrum-fluorescence" data fusion.

Objective: Precise monitoring of cotton leaves' nitrogen content is important for increasing yield and reducing fertilizer application. Spectra and images are used to monitor crop nitrogen information. However, the information expressed using nitrogen monitoring based on a single data source is limited and cannot consider the expression of various phenotypic and physiological parameters simultaneously, which can affect the accuracy of inversion.

First Report of Phelipanche aegyptiaca on Plectranthus scutellarioides in Xinjiang, China.

Coleus (Plectranthus scutellarioides [L.] R.Br.

First Report of Fruit Rot of Grapes (Vitis vinifera) Caused by Cladosporium cladosporioides in Xinjiang, China.

Xinjiang Province accounts for nearly 20% of the total grape (Vitis Vinifera L.), proles orientalis) (wine, table and raisin combined) production, being the largest production area in China. Fruit rot is the most common disease that impacts grape quality and yield.

Transcriptomic analysis of gene expression of Verticillium dahliae upon treatment of the cotton root exudates.

Background: Cotton Verticillium wilt is one of the most devastating diseases for cotton production in the world. Although this diseases have been widely studied at the molecular level from pathogens, the molecular basis of V. dahliae interacted with cotton has not been well examined.