STUDY OF AIR-SPORA OVER THE GROUND NUT FIELD IN JALGAON DIST. MAHARASHTRA
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Aerobiology is the science of biological, airborne organisms and their movement and effect on plant, animal and human health. Arachis hypogea is susceptible to various diseases such as seed boarn, soil boarn and air boarn diseases, which is caused by bacteria, viruses, fungi and nematodes. Important fungal diseases of ground nut plant are as follows. Leaf spot disease caused by Cercospora arachidicola. More focus has been given to fungal air-spora during this present investigation. Effect of some environmental factors such as rainfall, humidity and temperature on the diseases causing and the percentage contribution of all air boarn fungal air-spora components were recorded. In this aerobiological research investigation includes quantitative as well as qualitative analysis of fungal air spora over ground nut crop at Jalgaon dist., in Maharashtra. The metrological data for each day of relative humidity, temperature and rainfall was obtained from metrological department of Jalgaon district. After the observation of all slides, with the help of visual observation, identification of fungal spores takes place. It is observed that some factors like Humidity, temperature, rainfall, growth and age of the plant affects the frequency and the spread of the disease. During this present investigation some allergic fungal spores were found abundantly. For e.g. Alternaria, Cladosporium, curvularia and pollen grains. The crop variety i.e. Arachis hypogea L., JL-24, was recorded to be highly resistant for the diseases development. So the Arachis hypogea L plant was found to be very healthy.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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 it