Preface 1<sup>st</sup> International Conference on Industrial Agriculture (ICONIA 2020)
Bibliographic record
Abstract
Agriculture plays an important role for providing food and jobs as well as an engine of economic growth in most developing countries. In terms of large scale or industrial agriculture, this field faces big challenges for providing food, feed, fiber and fuel for growing population while answering issues of sustainability, natural resource depletion, climate change, market protection, and food security. Therefore, agriculture based tropical countries should be able to address the challenges through collaboration and innovations. Accordingly, we held the First International Conference on Industrial Agriculture (ICONIA 2020) as a part of conference series presented by Universitas Gadjah Mada (UGM) in Yogyakarta, Indonesia with the theme of Managing Crisis in Industrial Agriculture: Way Forward. This conference is the first round held by Pusat Inovasi Agroteknologi (PIAT) UGM in a close collaboration with partner universities: Universitas Janabadra, Politeknik LPP, Universitas Pembangunan ‘Veteran’ Yogyakarta, Institut Pertanian INTAN Yogyakarta, and Universitas Sarjanawiyata Tamansiswa. This program provides an ideal platform for policy makers (government), private sectors, planters, agriculturist, academicians, professionals, NGO’s, and students to share the experience and knowledge about industrial agriculture. ICONIA 2020 covers various topics from Genetic Resources and Utilization, Crop Production Technology, Modern Agriculture, Post-harvest Agriculture, Agricultural Socioeconomics, to Agriculture Waste Management. This conference was planed one year before that would use an ordinary conference format in a hotel on the mid October 2020 expecting a huge number of participant and some exhibitions. However in the early 2020, the pandemic outbreak forced the conference committee to postpone the date to 3rd December in the hope for outbreak ceased. Unfortunately, until the mid 2020 there was no positive sign of the cease of this pandemic, thus, the committee decided to switch into a virtual conference format. The virtual conference was also mandated by UGM for all the conference held in 2020 and also comply with local government (Yogyakarta) regulation. Luckily through several adaptations and changes, we were still able to get 30 paper submission and four plenary lectures from 5 different countries. During the conference, the online presentation was using Zoom Meeting platform. The committee set up a control room to handle the conference in Eastparc Hotel Yogyakarta at the conference date for ensuring stable internet connection and electrical supply. ICONIA 2020 has two sessions in sequence which are plenary session and parallel session. The plenary sessions delivered by four speakers: Prof. Bunyamin Tar’an, Ph.D. (University of Saskatchewan, Canada), Roland Schafleitner, Ph.D. (World Vegetable Center, Taiwan), Benisiu Thomas, Ph.D. (University of Namibia) and Dr. Guilherme Rossi Machado Junior, MS. (Rossi Consultoria E. LTDA, Brazil). Each keynote speaker had 20 minutes for presentation and 10 minutes for question and answers session. Meanwhile, presenters in parallel sessions were given 10 minutes for presentation and 5 minutes for question and answer. All 28 papers have been presented successfully using Zoom Meeting and Conference platform. Meanwhile, non-presenter participants number are 68 which were able to follow the plenary session online before separated into four parallel virtual rooms based on their choice. By all the challenge due to this pandemic, one day conference of 1st ICONIA 2020 has been successfully held. There was no significant hindrance due to internet connection or others. We do hope the next ICONIA can be held in a normal conditions with more participants and more significant contribution to Industrial Agriculture fields.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.224 | 0.141 |
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".