Post-harvest and value chain management of large cardamom in hills and uplands
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
Amomum subulatum Roxb. is cultivated largely in the eastern Himalayan region viz., Nepal, Bhutan and Indian states comprising of Sikkim, Uttaranchal and Darjeeling district of West Bengal. It is widely used in foods, beverages, perfumes and having enormous medicinal values. Some popular cultivars include Ramsey, Sawney, Golsey and Varlangey. Curing is the most crucial step in processing as capsule quality largely depends on curing conditions and methods. Optimum curing temperature is 45–55 °C and is usually done in traditional bhattis. Dried capsules are usually packed in polythene-lined jute bags for storage at 11% moisture content. The postharvest value chain consists of growers, collectors, traders, and exporters. The primary processing steps required by the present market are curing, tail cutting and grading. Curing is carried out by the farmers, and the remaining steps are done by wholesalers. India exports large cardomom to Australia, Canada, Pakistan, UK, etc. Singtam, Gangtok, Jorethang, Rongli, and Mangan etc., are the major local markets in Sikkim while Siliguri is the main trade junction from where it is distributed to Guwahati, Kolkata and Delhi. Well processed quality capsules have great demand in the market and help the growers by protecting and promoting their livelihood. This article reviews the agrotechniques of cultivation, postharvest processing, quality issues and trade patterns of large cardamom towards increasing its quality and value and thereby to protect and promote the livelihoods of several thousands of people in the value chain.
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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) | 0.000 | 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