A REVIEW ON BIOENREGY PRODUTION FROM PLANTS OF FAMILY POACEAE
Bibliographic record
Abstract
The importance of biomass as a sustainable substitute for fossil fuel is highlighted by the rising need for renewable energy sources. Based on the biomass characteristics and phytochemical makeup of three Poaceae species- Zea mays L., Miscanthus giganteus J. M. Greef, Deuter ex Hodk., Sorghum almum- this review investigates their potential for producing biofuel. Bioactive substances with antioxidant, antifungal, and allelopathic qualities were found by the phytochemical investigation, indicating potential uses beyond the generation of biofuel. It is necessary to look into the possibilities of breeding plants with desired traits, particularly low lignin levels, in order to increase biomass yields and reduce resistance to bioconversion. The creation of a workable system for producing biofuel from halophytes will surely be aided by advancements in genetics, agronomy, and the conversion process. This will increase the feedstock availability and boost the production efficiency of biofuel. The wider ecological advantages of biomass while maximizing its use for sustainable energy generation is explored widely in this review paper.
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 | 0.001 | 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) | 0.001 | 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".