PREFACE: The 2<sup>nd</sup> International Conference on Sustainable Cereals and Crops Production Systems in the Tropics (ICFST)
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Notice bibliographique
Résumé
The 2 nd International Conference on Sustainable Cereals and Crops Production Systems in the Tropics (ICFST) was held on 23-24 September 2021 in Harper Hotel Makassar, Indonesia. The Conference was organized by Indonesian Agency for Agricultural Research and Development (IAARD)-Ministry of Agriculture of Indonesia, collaborated with International Maize and Wheat Improvement Center (CIMMYT) and Ministry of Research, Technology and Higher Education of Indonesia. The theme of the conference is “Strengthening Agricultural Resources Management to Support Food Security and Industry 4.0” with the sub themes of Breeding and Biotechnology, Crop Production Systems, Pest and Disease Management, Post Harvest, Socio-Economy and Community Development. The conference was conducted in two days offline/on site and virtual scientific sessions. Due to the pandemic reason, offline/on site meeting was limited to a maximum of 100 participants and the remaining 900 participants joined via virtual zoom meeting. The conference facilitate the research community focusing in food crops and provide platform for scientists to meet and interact with each other to share their knowledge and their research results along with the obstacles and challenges they faced in their development, achievement as well as experiences through the presentation of papers and discussion. This international conference is also an event to establish cooperation in the development of food crops research in the future as well as enhancing the knowledge of environmental protection with the current agricultural technologies. We would like to convey our deepest gratitude to the Minister of Agriculture of Indonesia, Keynote Speakers: Dr Kevin Pixley (Director of Genetic Resources Program CIMMYT & the CGIAR Research Program), Prof. Keerti S. Rathore (Texas A&M University, USA), Dr. Juan Landivar Bowles (Texas Agrilive-USA), Prof Bunyamin Tar’an (University of Saskatchewan Canada), Dr. Yu Shin Nai (Chung Sing University-Taiwan), Dr. Naori Miyazawa (Nagoya University), sponsors, organizing committee and also to all participants. We also would like to express our deepest gratitude to the Indonesian Agency for Agricultural Research and Development (IAARD) conducted such conference. We are looking forward to the 3 rd ICFST that will be held on September 2023 in Bali Island. We expect that these future ICFST conference will be as stimulating as this most recent one was, as indicated by the contributions presented in this proceedings volume. Makassar, 23-24 September 2021 IAARD Indonesia List of Committees, conference photograph are available in this Pdf.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle