Search Results - Human-machine systems.

INFINITy : A fast machine learning-based application for human influenza A and B virus subtyping by Cacciabue, Marco Polo Domingo, Marcone, Débora Natalia

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Machine Vision-Based Measurement Systems for Fruit and Vegetable Quality Control in Postharvest by Blasco, José, Munera, Sandra, Aleixos, Nuria, Cubero, Sergio, Moltó, Enrique

“…Furthermore, as they are living thing, they change their quality attributes over time, thereby making the development of accurate automatic inspection machines a challenging task. Machine vision-based systems and new optical technologies make it feasible to create non-destructive control and monitoring tools for quality assessment to ensure adequate accomplishment of food standards. …”
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SIT-ia: A Software-Hardware System to Improve Male Sorting Efficacy for the Sterile Insect Technique by De La Vega, Gerardo, Smith, Luciano, Soria-Mercier, Lihuen, Edwards, Wilson, Triñanes, Federico, Masagué, Santiago, Corley, Juan Carlos

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Hyperspectral LCTF-based system for classification of decay in mandarins caused by Penicillium digitatum and Penicillium italicum using the most relevant bands and non-linear class... by Gómez-Sanchís, Juan, Blasco, José, Soria-Olivas, Emilio, Lorente, Delia, Escandell-Montero, P., Martínez-Martínez, José M., Martinez-Sober, Marcelino, Aleixos, Nuria

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AI for Sustainable Rice: How Artificial Intelligence Could Lower Barriers to Access Carbon Finance by Mantle Labs

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Advanced technologies for reducing greenhouse gas emissions from rice fields: Is hybrid rice the game changer? by Khatibi, Seyed Mahdi Hosseiniyan, Adviento-Borbe, Maria Arlene, Dimaano, Niña Gracel, Radanielson, Ando M., Ali, Jauhar

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Desarrollo y evaluación de un índice de calidad de suelo de montes de pera manejados bajo dos sistemas de producción, convencional y orgánico, en el Alto Valle de Río Negro by Holzmann, Rosa De Lima

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Socio-economic baseline survey data of 20 villages in Kitui district, Kenya in 2009 by Morimoto, Yasuyuki, Maundu, Patrick, Imbumi, Maryam, Kariuki, Lucy, Tumbo, Dominic

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Advances in Machine Vision Applications for Automatic Inspection and Quality Evaluation of Fruits and Vegetables by Cubero, Sergio, Aleixos, Nuria, Moltó, Enrique, Gómez-Sanchís, Juan, Blasco, José

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Impressed with ChatGPT's agricultural knowledge? CGIAR's open access effort (probably)* enabled it by Koo, Jawoo, Devare, Medha, King, Brian

“…2023 will be remembered as the year when the communication barrier between human and machine intelligence was breached, as online chatbots such as ChatGPT went public able to respond intelligibly to questions and even perform language-based tasks. …”
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Using machine learning for image-based analysis of sweetpotato root sensory attributes by Nakatumba-Nabende, J., Babirye, C., Tusubira, J., Mutegeki, H., Nabiryo, A., Murindanyi, S., Katumba, A., Nantongo, J.S., Sserunkuma, E., Nakitto, M., Ssali, R.T., Makunde, G.S., Moyo, M., Campos, Hugo

“…The work involved capturing images of boiled sweetpotato cross-sections using the DigiEye imaging system, data pre-processing for background elimination and feature extraction to develop machine learning models to predict the flesh-colour and mealiness sensory attributes of different sweetpotato varieties. …”
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Urban flash flood hazard mapping using machine learning, Bahir Dar, Ethiopia by Leggesse, E. S., Derseh, W. A., Zimale, F. A., Tilahun, Seifu A., Meshesha, M. A.

“…As an alternative solution, this paper explores the use of machine learning (ML) techniques to map flood hazards based on readily available geo-environmental variables. …”
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Yield prediction, pest and disease diagnosis, soil fertility mapping, precision irrigation scheduling, and food quality assessment using machine learning and deep learning algorith... by Ajith, S., Vijayakumar, S., Elakkiya, N.

“…Artificial intelligence, particularly machine learning and deep learning, is revolutionizing agricultural practices by enabling data-driven, precise, and sustainable solutions. …”
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Insecticide use, farmers’ self-reported health status, and genetically modified cowpea in Nigeria: Findings from a clustered randomized controlled trial with causal by Amare, Mulubrhan, Andam, Kwaw S., Spielman, David J., Bamiwuye, Temilolu, Nwagboso, Chibuzo, Zambrano, Patricia, Chambers, Judith A.

“…To explore heterogeneous responses, we combine ANCOVA (analysis of covariance) interactions with machine learning-based Causal Forest estimates of Conditional Average Treatment Effects (CATEs). …”
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Multispectral inspection of citrus in real-time using machine vision and digital signal processors by Aleixos, Nuria, Blasco, José, Navarron, F., Moltó, Enrique

“…This work includes the development of a multispectral camera, which is able to acquire visible and near infrared images from the same scene; the design of specific algorithms and their implementation on a specific board based on two DSPs that work in parallel, which allows to divide the inspection tasks in the different processors, saving processing time. The machine vision system was mounted on a commercial conveyor, and it is able to inspect the size, colour and presence of defects in citrus at a minimum rate of 5 fruits/s. …”
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Media analysis for crop protection: Utilizing AI to monitor top five priority diseases in agriculture by Kim, Soonho, Song, Xingyi, Park, Boyeong, Ko, Daeun, Liu, Yanyan

“…This system, developed in collaboration with the University of Sheffield, utilizes a combination of text mining, machine learning techniques, and a Large Language Model (LLM), to process and analyze media articles. …”
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Qualitative risk assessment on the transmission of HPAI (H5N1) virus from backyard and medium-scale commercial farms to household free-range poultry in Nigeria by Abdu, P.A., Costard, Solenne, Ahmed, G.M., Duarte, P., Métras, Raphaëlle

“…The Nigerian poultry industry, comprising both commercial and rural poultry systems, experienced the first highly pathogenic avian influenza (HPAI) H5N1 outbreak in 2006. …”
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Production and marketing of cassava flour for human consumption: Phase II or pilot project phase : Semesterly report by International Center for Tropical Agriculture

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The Compound Risk Framework: Assessing fragility and key drivers of food insecurity in Haiti, Mozambique and Ghana by Minoarivelo, Onivola Henintsoa, Craparo, Alessandro, Basel, Ashleigh Megan, Nguyen, Kien Tri, Ouedraogo, Yacouba, Douglas, Wesley, Melly, Brigitte, Dao, Hoa, Carneiro, Bia, Pacillo, Grazia, Laderach, Peter

“…Climate variability is increasingly impacting natural and human systems, exposing societies to compound and interrelated environmental, socioeconomic, and political crises. …”
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Effects of urbanization on avian diversity and human-nature interactions in tropical environments by Awoyemi, A.G.

“…Thus, this thesis investigated the impacts of urbanization on socioecological systems in the Afrotropics, providing data useful in achieving sustainable urban development in line with SDG Goal 11 (Sustainable Cities and Communities) in the region. …”
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