Bibliographic record
Abstract
Biological control of arthropod pests has been applied successfully in greenhouse crops for decades. The list of worldwide commercially available natural enemies goes up to 230 species and the 25 most sold species are mainly the ones used in greenhouse crops. Considering this relatively high number of available species, one might think that most greenhouse pests can be effectively controlled through the use of natural enemies. However, quite the contrary is true. Although commercialized NEs can keep damage caused by the main greenhouse pests, such as whiteflies, spider mites, aphids and thrips below threshold levels in most vegetable crops, this is not the case for many ornamental crops. Moreover, new pests continue to emerge through the invasion of exotic species as a consequence of global trade and global warming, or as a result of reduced and/or more selective use of pesticides. Here I summarize both the currently most problematic and persistent, as well as the newly emerging pest species in greenhouse ornamental crops in The Netherlands, which is probably very similar to the situation Canada. Furthermore, I mention some new methods to support the establishment of natural enemies for pest control in ornamentals.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".