An Economic Comparative Assessment using Mi-2 Helicopter and Seed Drill in (Sowing Seeds, Foliar Feeding and Weed Control) Operations on the Wheat Fields at Some Egyptian Governorates
Bibliographic record
Abstract
The process of seed dispersal considered the largest agricultural operations and the most widespread in its agricultural aviation aircraft in the United States, Canada and other countries.The sowing seeds wherewithal/ a method by Helicopter is optimal advantage and superior, especially in cases of small-scale seed dispersal, such as wheat, barley, rice, flax, sorghum.This method is also considered optimal when the desire for rapid agriculture to compensate for the delay in sowing date, as well as in agriculture in the uneven ground.Moreover, the seeding on the flat ground by aircraft has many advantages where they are scattering on the large areas speedy to avoid bad weather and get the best plant density gained from ground agriculture.The flow process of seeds from Helicopter and planted in processed soil for planting meticulously; as a result to equal of the grain weight with the absence of exotic materials.Once calibrated the device which responsible for the flow and the distribution of seeds in the Helicopter, It will function in the work is outweigh than any another unparalleled device; distinct in its accuracy and regularity; this is an excellent evidence as optimal methodological for the precision farming system.Now is available some sophisticated modern devices capable to scattering the seeds from the Helicopter in narrow lines, which adds to the process of seed dispersal by aircraft recipe great application.The current study provides a practical assessment in order to the testing efficiency of scattering seeds, foliar feeding and weed control process, using the Helicopter -Mi-2, on the fields crops; at Egyptian lands belonging to Public Authority for Agricultural Reclamation at Al Sharqia, Gharbia and Beheira Governorates.The scientific assessment of Sowing the Seeds, foliar feeding and weed control operations, using the Helicopter -Mi-2, on the fields crops; at various governorates.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".