Viability of Biofertilizer Produced by an Indian Biodigester Prototype Applied to Sunflower Plants
Bibliographic record
Abstract
Biodigesters have been used to convert biomass into biogas and biofertilizers. This energy use has been important for the reduction of solid waste pollution in the environment. This work aims to analyse the viability of the use of pig biofertilizer produced by an Indian biodigester prototype, monitored by a data acquisition system. The biodigester used was an Indian prototype built on a low cost material that is easy to acquire (polyvinyl chloride-PVC). After the biofertilizer production, we tested its efficiency and viability under conditions of vegetation house in the cultivation of sunflower plants. The experimental design was completely randomized in a factorial arrangement with 4 concentrations of biofertilizer (0, 40, 80 and 120 kg N ha-1) × 4 harvest periods (14, 21, 25 and 29 days after sowing). We evaluated biometric and vigor parameters by measurements of stem diameter, height of the aerial part, number of leaves and production of fresh and dry matter of roots, aerial and total parts, as well as the relative chlorophyll content. We performed the experiment with five repetitions using two plants each and we submitted the data to analysis of variance (ANOVA) and polynomial regression using the statistical software Sisvar 5.4. The functional Indian biodigester prototype produced a biofertilizer of excellent quality and viability as a biofertilizer for the initial growth of sunflower plants. The biofertilizer served as a nutritional source in the sunflower crop, since it provided increases in all the growth parameters analyzed in relation to the control group (plants in the absence of biofertilizer), especially in the concentration of 120 kg N ha-1.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 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".