PEMANFAATAN TEKNOLOGI PENGELOLAAN OPT TANAMAN SAYURAN BERBAHAN BAKU RAMAH LINGKUNGAN DI KANAGARIAN LASI KECAMATAN CANDUANG KABUPATEN AGAM
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
Kegiatan tentang pemanfaatan teknologi pengelolaan organisme penganggu tanaman (OPT) pada tanaman sayuran berbahan baku ramah lingkungan telah dilakukan di Kelompok Tani Mitra di Nagari Lasi Kecamatan Canduang Kabupaten Agam pada bulan September hingga November 2016. Kegiatan ini bertujuan untuk meningkatkan pengetahuan petani tentang serangan OPT sayuran dan bagaimana mengelola OPT menggunakan biopestisida dan pestisida botani. Kegiatan ini meliputi: pemantauan tingkat serangan OPT di lahan mitra, penyuluhan, pelatihan, dan evaluasi hasil kegiatan. Hasil pemantauan tingkat serangan OPT pada tanaman sayuran mitra berkisar antara 18 - 27% untuk penyakit dan 15 - 20% untuk hama. Dari kegiatan dapat dikesimpulkaan yaitu: (1) tingkat OPT pada tanaman sayuran mitra cukup tinggi, (2) Petani belum memahami OPT yang menyerang tanaman sayuran mereka, (3) Petani tidak memahami metode pengelolaan OPT menggunakan biopestisida dan pestisida botani, dan (4) penyuluhan dan praktek lapangan, telah meningkatkan pengetahuan petani tentang pengelolaan OPT sayuran dengan menggunakan biopestisida dan pestisida botani.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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