A Concept Study for Feature Extraction and Modeling for Grapevine Yield Prediction

Yield prediction in viticulture is an especially challenging research direction within the field of yield prediction. The characteristics that determine annual grapevine yields are plentiful, difficult to obtain, and must be captured multiple times throughout the year. The processes currently used in grapevine yield prediction are based mainly on manually captured data and rigid statistical measures derived from historical insights. Experts for data acquisition are scarce, and statistical models cannot meet the requirements of a changing environment, especially in times of climate change. This paper contributes a concept on how to overcome those drawbacks, by (1) proposing a deep learning driven approach for feature recognition and (2) explaining how Extreme Gradient Boosting (XGBoost) can be utilized for yield prediction based on those features, while being explainable and computationally inexpensive. The methods developed will be influential for the future of yield prediction in viticulture

35 million-year-old solid-wood-borer beetle larvae support the idea of stressed Eocene amber forests

Eocene amber is an important window into the past about 35 million years ago. The large quantities of resin produced by this forest of the past, resulting in amber, triggered the idea of a forest under stress. Recent findings of higher abundances of hoverfly larvae in Eocene amber, in the modern fauna often associated with wood-borer larvae, provided a hint that wood-borer larvae may have contributed to this stress. Yet, so far only few such larvae have been reported. We have compiled a dozen additional wood-borer larvae in amber, including a giant one of at least 35 mm length in Rovno amber. Heavily damaged fossils furthermore indicate that larger larvae of this type were prone to oxidation and that, at least some, enigmatic tube-like tunnels in larger amber pieces may represent remains of large wood-borer larvae. This find strongly indicates that wood-borer larvae were not rare, but common in the Eocene amber forest, which is compatible with the high abundances of hoverfly larvae and further supports the idea of a forest under stress. Whether the possible higher abundances of wood-borer larvae were the cause of the stress or a symptom of an already stressed forest remains so far unclear

PHENOquad: A new multi sensor platform for field phenotyping and screening of yield relevant characteristics within grapevine breeding research

Balanced and stable yield is a major trait in grapevine breeding and breeding research. Grapevine yield hereby is a complex quantitative trait, as it is influenced by multiple plant parameters, like berry size, number of berries per bunch, number of bunches per shoot, management, and environmental factors. In the current breeding process, the complexity of this trait has shown that a classification according to descriptive factors for marker development is only possible to a limited extent. Precise field phenotyping of yield-related traits is the basic prerequisite to be able to measure such quantitative traits. This, however, is the major bottleneck due to labor, time and constrains of plant material in the breeding process. For this reason, one of our main goals with the newly developed phenotyping platform PHENOquad with its multisensor system PHENOboxx is to improve phenotyping efficiency of grapevine yield to overcome the phenotyping bottleneck. The newly developed embedded vision system PHENOboxx is mounted on an "all-terrain vehicle (ATV)". This allows a fast data acquisition on a large number of individual vines. In order to evaluate the yield potential of breeding material in comparison to established grapevine cultivars, various yield-related parameters of the vines are quantified directly in the field with high spatial and temporal resolution. As key parameters for yield-related phenotyping, the number of shoots, bunches, berries and the weight of dormant pruning wood was identified. The image data acquired are annotated to train the artificial intelligence (AI). Within the process, the image analysis results are compared to annotated ground truth data and correlated with the field reference data. We expect to increase the precision, target specificity and throughput of screening grapevine material without reducing its accuracy over time by using the PHENOquad. In addition, a weighting of yield-relevant parameters would be possible. This opens up new possibilities for efficient plant evaluation in the scope of grapevine breeding. Also new application possibilities for precision viticulture are conceivable

Conventional direction to unconventional measures: using quantitative easing to shape Eurozone fiscal capacity

Eight years after the outbreak of the crisis, the Eurozone (EZ) fiscal policy remains fragmented at the national level. This paper fills the structural gap between the monetary and fiscal dimensions of EZ economic policy by suggesting a ‘conventional’ direction to the unconventional Quantitative Easing (QE) policy of the European Central Bank (ECB). We propose an evolution for QE to tackle the shortcomings of the current ‘decentralized’ fiscal policy in the EZ. In a nutshell, we suggest a change in the composition of QE asset purchases, focusing on buying European Investment Bank (EIB) bonds that, in turn, would be used to finance real investments through the Juncker Plan programme. The rationale of our proposal is legitimised by an overview of the gloomy macroeconomic conditions of the EZ, and the situation in ongoing policies. The mechanism is described in detail, with a discussion of both its strengths and possible limitations

Imagination in Action: A Phenomenological Case Study of Simulations in Two Fifth-Grade Teachers’ Classrooms

The purpose of this research was to describe how two fifth-grade teachers help students understand social studies and language arts concepts through simulations. I observed two fifth-grade teachers, Lindsey and Paula, as they conducted a simulation focused on the Lewis and Clark expedition. I spent 100 hours over a period of eight weeks in the teachers’ classrooms. The following research questions guided my inquiry: 1. Why do the two teachers use simulations? 2. How do the two teachers implement simulations? 3. How do the ten students respond to simulations? 4. What do the ten students think about simulations? To answer these questions, I interviewed each study participant three times, analyzed teacher resource materials and student work samples, videotaped and audiotaped the students’ and teachers’ behaviors, and observed the teachers’ and students’ interactions. I followed a phenomenological theoretical orientation and reported my findings through a descriptive case study. A detailed account of xi the early, middle, and late stages of a simulation depicted the participants’ actions. I discovered that the two teachers used simulations because they believed simulations targeted students’ learning styles and enabled students to retain the material over time. Lindsey felt simulations allowed her to integrate content and create an active learning environment, and Paula believed simulations involved the students with authentic learning. To implement the simulation, the teachers increased students’ background knowledge on Westward Expansion, prepared them for their roles throughout the action phase, and evaluated student learning through written and oral assessments. I observed how two groups of five students interacted throughout the simulation. I learned how they formulated an identity for their team, discussed dilemmas, resolved conflicts, and completed their tasks. The students shared positive and negative opinions about their roles as captains, journal writers, interpreters, and privates. They explained how they had learned about the content, teamwork, and historical figures associated with the Lewis and Clark expedition. All of the students gained on their posttests. Four of the students made connections with the simulation content to their lives and experienced positive attitudinal and academic transformations

Die Aufrufschnittstelle des MOSKITO Kerns

SIGLETIB Hannover: RO 5634(1989,10) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekDEGerman