Search Results - "Artificial"

Inteligencia Artificial para el Sector Silvoagropecuario : Panorama Mercado

Subjects: “…INTELIGENCIA ARTIFICIAL…”
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Inteligencia artificial para el sector silvoagropecuario: panorama tecnológico

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Adaptación y mitigación al cambio climático. Inteligencia artificial. diciembre 2023

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Provision of continual support to farmers, and village boar keepers, and providers of artificial insemination(AI) services trained at the villages in northwest Vietnam under the Li... by Le Thi Thanh Huyen, Marshall, Karen

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Field solution for artificial insemination of sheep and goats in low input systems by Rekik, Mourad, Getachew, T., Haile, Aynalem, Rischkowsky, Barbara A.

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Mining the gaps:using machine learning to map a million data points from agricultural research from the global south by Porciello, J., Lipper, L., Bourne, T., Ivanina, M., Lin, S., Langleben, S.

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Food: use artificial intelligence to create new proteins [Correspondence] by Ahmed, Selena, Rajasekheren, Maya, Shafizadeh, Tracy

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Pig weigh band for use in Uganda by Marshall, Karen, Malinga, Sophie

Subjects: “…artificial insemination…”
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Chinese artificial intelligence in Africa: Digital colonisation or liberalisation? by Tinarwo, Joseph, Babu, Suresh Chandra

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Hybrid-AI and Model Ensembling to Exploit UAV-Based RGB Imagery: An Evaluation of Sorghum Crop’s Nitrogen Content by Hammouch, Hajar, Patil, Suchitra, Choudhary, Sunita, El-Yacoubi, A. Mounim, Masner, Jan, Kholová, Jana, Anbazhagan, Krithika, Vanek, Jirí, Qin, Huafeng, Stoces, Michal, Berbia, Hassan, Jagarlapudi, Adinarayana, Chandramouli, Magesh, Mamidi, Srinivas, Prasad, K.V.S.V., Baddam, Rekha

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Promoting pig and cattle artificial insemination service provision and adoption in Northwest Vietnam, including establishment of an AI service providers cooperative by Le Thi Thanh Huyen, Marshall, Karen

Subjects: “…artificial insemination…”
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Bull selection guideline for genetic improvement by Seyoum, K., Mamo, S., Birhanu, T., Muluneh, D., Kassa, T.

Subjects: “…artificial insemination…”
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The state of the field for research on agrifood systems by Porciello, Jaron, Skidan, Volha, Ambikapathi, Ramya, Boonabaana, Brenda, Guerra, Jill, Lidder, Preetmoninder, Piñeiro, Valeria, Phillips, Lauren, Savilaakso, Sini, Schuster, Monica, Sheikh, Hafsa, Tufan, Hale, Witkowski, Kelly

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Foodgravity: understand food flows using classic gravity model and explainable artificial intelligence techniques by Dusabe, B.

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Leveraging AI for Inclusive Climate Services in Kenya (and Beyond): CGIAR GESI Accelerator Webinar by Gitau, Kevin, Grossi, Amanda

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Themes and recommendations for digitalization of agriculture and agri DPIs by The Agri Collaboratory

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CIMMYT’s AI-enabled farmer advisory systems: a concept note by Ndour, Adama

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Fast-forwarding plant breeding with deep learning-based genomic prediction by Gao, Shang, Yu, Tingxi, Rasheed, Awais, Wang, Jiankang, Crossa, Jose, Hearne, Sarah, Li, Huihui

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Explainable machine learning driven nutrient recommendation for maize production in Malawi by Liben, Feyera, Kihara, Job, Abera, Wuletawu, AbebeMesfin, Tewodrofins, Homann-kee Tui, Sabine, Munthali, Moses, Munthali, Chandiona, Nalivata, Patson, Mzumara, Edward, Tuimene, Lulseged

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Estudios de la crianza masiva de Spodoptera frugiperda (J. E. Smith) (Lepidoptera : Noctuidae) en laboratorio by Boquin K., Gerardo J.

Subjects: “…Dieta artificial…”
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