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2020
Journal article
Caution Needed When Predicting Species Threat Status for Conservation Prioritization on a Global Scale
The recent Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) report highlighted the large scale of extinction risks to biodiversity (Díaz et al., 2019). Assessing species' extinction risk is vital for setting conservation priorities and the first step toward protecting particular areas or groups. A widely accepted approach to... -
2019
Journal article
A framework for predicting soft-fruit yields and phenology using embedded, networked microsensors, coupled weather models and machine-learning techniques
Improving the accuracy of harvest timing predictions offers an opportunity to sustainably improve soft fruit farming. Fruits are perishable, high-value and seasonal, and prices are typically time-sensitive. Harvesting is labour-intensive and increasingly expensive making accurate phenological predictions valuable for growers. We have developed and tested a novel framework for linking...Lee, Mark A. ; Monteiro, Angelo ; Barclay, Andrew ; Marcar, Jon ; Miteva-Neagu, Mirena …
fruiting, sensors, climate, picking, strawberries, and machine learning
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2018
Journal article
A Universal Probe Set for Targeted Sequencing of 353 Nuclear Genes from Any Flowering Plant Designed Using k-Medoids Clustering
Sequencing of target-enriched libraries is an efficient and cost-effective method for obtaining DNA sequence data from hundreds of nuclear loci for phylogeny reconstruction. Much of the cost of developing targeted sequencing approaches is associated with the generation of preliminary data needed for the identification of orthologous loci for probe design....