Automatic Scoring of Rhizoctonia Crown and Root Rot Affected Sugar Beet Fields from Orthorectified UAV Images Using Machine Learning.

Rhizoctonia crown and root rot (RCRR), caused by Rhizoctonia solani, can cause severe yield and quality losses in sugar beet. The most common strategy to control the disease is the development of resistant varieties. In the breeding process, field experiments with artificial inoculation are carried out to evaluate the performance of genotypes and varieties. The phenotyping process in breeding trials requires constant monitoring and scoring by skilled experts. This work is time demanding and shows bias and heterogeneity according to the experience and capacity of each individual person. Optical sensors and artificial intelligence have demonstrated great potential to achieve higher accuracy than human raters and the possibility to standardize phenotyping applications. A workflow combining red-green-blue and multispectral imagery coupled to an unmanned aerial vehicle (UAV), as well as machine learning techniques, was applied to score diseased plants and plots affected by RCRR. Georeferenced annotation of UAV-orthorectified images was carried out. With the annotated images, five convolutional neural networks were trained to score individual plants. The training was carried out with different image analysis strategies and data augmentation. The custom convolutional neural network trained from scratch together with pretrained MobileNet showed the best precision in scoring RCRR (0.73 to 0.85). The average per plot of spectral information was used to score the plots, and the benefit of adding the information obtained from the score of individual plants was compared. For this purpose, machine learning models were trained together with data management strategies, and the best-performing model was chosen. A combined pipeline of random forest and k-nearest neighbors has shown the best weighted precision (0.67). This research provides a reliable workflow for detecting and scoring RCRR based on aerial imagery. RCRR is often distributed heterogeneously in trial plots; therefore, considering the information from individual plants of the plots showed a significant improvement in UAV-based automated monitoring routines.

Academics engaging through the media-Insights from creating a monthly column on crisis management.

Universities increasingly expect academics to engage with external stakeholders. This includes providing media commentary. In this article I describe my experience writing a monthly column on Crisis Management in the New Zealand Herald, the most widely read newspaper in New Zealand with an average daily readership of over 460,000 people (New Zealand Herald, 2019). The article also describes the benefits of writing a newspaper column including educating the public about issues relating to Crisis Management such as managing Covid-19, creating a platform for enhancing collaboration between academics and Public Relations firms, and enhancing the reputation of both the academic and university. This article will benefit academics in the field of Public Relations who are interested in writing a newspaper column to engage through the media.

[Patients' rights: what the new swiss civil code will change in the health care of children]. / Droits du patient: ce que le nouveau Code civil va modifier dans les soins aux enfants.

Recent progress in medicine allow to provide treatment, to cure or to extend the lifespan of people that would have not survived before. Doctors and healthcare providers have become indispensable actors in Western societies. This is particularly true for children's health issues. With the new information technologies, knowledge is now available to everyone, which enables patients to dialog on an equal footing with the physician. Nowadays, therapeutic choices are discussed and negotiated. The new tensions caused by this relationship between therapist and patient have created the need for new regulations. The Swiss Confederation has modified its Civil Code with the objective of a better protection of vulnerable individuals. This article summarizes the consequences of the new regulations with regard to the care and treatment provided to children.

Family history of dementia: dementia with lewy bodies and dementia in Parkinson's disease.

Parkinson's disease with dementia (PD-D) and dementia with Lewy bodies (DLB) may result from the same neurodegenerative process with different temporal and spatial courses. The authors report an association between DLB and family history of dementia in a comparison study between patients with a clinicopathological diagnosis of PD-D and DLB. Findings suggest that positive family history for dementia is associated with DLB with a yet unknown mechanism.