Phenotypic Analysis of Diseased Plant Leaves Using Supervised and Weakly Supervised Deep Learning.

Deep learning and computer vision have become emerging tools for diseased plant phenotyping. Most previous studies focused on image-level disease classification. In this paper, pixel-level phenotypic feature (the distribution of spot) was analyzed by deep learning.

Erratum to "Phenotypic Analysis of Diseased Plant Leaves Using Supervised and Weakly Supervised Deep Learning".

[This corrects the article DOI: 10.34133/plantphenomics.0022.

Active W Sites Promoted by Defect Engineering Enhanced CHS Sensing Performance of WO Nanosheets.

Defect engineering has received extensive attention as an effective method to tune the gas sensing properties of semiconductor materials. Here, defective WO (D-WO) nanosheets were obtained by a simple hydrogenation process with a detection limit as low as 5 ppb for dimethyl trisulfide (DMTS) and a response of 2.3 times that of the initial WO nanosheets to 100 ppb DMTS.