Search Results - Humanities Data processing

Land degradation assessment in the Argentinean Puna: Comparing expert knowledge with satellite-derived information by García, César Luis, Teich, Ingrid, Gonzalez Roglich, Mariano, Kindgard, Adolfo Federico, Ravelo, Andrés Carlos, Liniger, Hanspeter

“…However, the trend and the degradation processes described by experts at the LUS scale did not agree with the ones derived from satellite data. …”
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Caracteristicas de la produccion de yuca en el mundo con enfasis en America Latina by Díaz Duque, R.O.

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Innovations in water quality monitoring and management in Africa: towards developing an African Water Quality Program (AWaQ) by Mukuyu, Patience, Warner, S., Chapman, D. V., Jayathilake, Nilanthi, Dickens, Chris, Mateo-Sagasta, Javier

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Information and communication technology-based service platform enabling the co-creation of agrometeorological services: A case study of the Laos Climate Services for Agriculture by Kim, Kwang H., Petri, Monica, Inthipunya, Khambane, Manivong, Viengxai, Han, Juhyeong, Park, Jongsun, Palao, Leo K., Phouthanoxay, Sengduangduan, Keomanivong, Sengkeo, Silattana, Sengchanh, Chanthavong, Viengkham, Phommaya, Sayphone, Siyavong, Phousavanh

“…Key lessons and suggestions included co-training for both sectors, easy-to-use data management processes, early buy-in for policy makers, and creating standard operating procedures designating staff time and budgets. …”
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Quantitative microbial risk assessment of haemolytic uremic syndrome associated with Argentinean kosher beef consumption in Israel by Brusa, Victoria, Dolev, Sergio, Signorini Porchiett, Marcelo Lisandro, Leotta, Gerardo Anibal

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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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Spiraling up and down: Mapping women’s empowerment through agricultural interventions using the community capitals framework in rural Ethiopia by Mulema, Annet A., Boonabaana, Brenda, Debevec, Liza, Nigussie, L., Alemu, M., Kaaria, S.

“…A blend of qualitative data collection methods comprising group discussions, life histories, and key informant interviews was used. …”
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Irrigation infrastructure quality management system toolkit for Sub-Saharan Africa using Ethiopia, Kenya and Uganda as a case study: volume II – parameter checklist by Amare, Melkamu, Abdella, Y., Seid, Abdulkarim, Haileslassie, Amare

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Global analysis of social learning's archetypes in natural resource management: understanding pathways of co-creation of knowledge by Bonatti, Michelle, Lana, Marcos, Medina, Leonardo, Chevelev, Paul, Baldivieso, Carla, Errismann, Carla, Gleich, Pia, Rodriguez, Tatiana, Eufemia, Luca, da Silva Rosa, Teresa, Borba, Juliano, Matavel, Custodio, Schlindwein, Sandro, Ison, Ray, Eisenack, Klaus, Hellin, Jon, Pacillo, Grazia, Vadez, Vincent, Bossuet, Jérôme, Dolinska, Aleksandra, Sieber, Stefan

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Development and establishment of a high frequency monitoring system of the agri-food sector of Guatemala/ Construcción y establecimiento de un sistema de monitoreo de alta frecuenc... by Manners, Rhys, Jimenez, Daniel Ricardo, Martínez, Jesús David, Borrayo, Andrea Surama, Bonilla, Melissa, Ramos Solorzano, Gresia Dalal, Muller, Anna

“…Key to SiMASAG's development is MeMO, an automated system for data collection and processing. MeMO utilizes cellphone and WhatsApp surveys, continuously refined for enhanced efficacy in data gathering and processing. …”
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Effects of gender roles on legume production, utilization and complementary feeding in Dedza and Ntcheu districts of Malawi by Mulenga, Haswel

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Diagnosis of sorghum production and its market in Côte d’Ivoire by Diby, N’Nan, Mobio, Jacob Aubin, Kanon, Landry Alban, Deffan, Khando Prudence, Sangare, Salimata, N’Da, Hughes Annicet, Bouniol, Alexandre

“…Cultivated mainly by smallholder farmers in the northern regions, it serves multiple purposes: human consumption, traditional brewing (local malting), and animal feed. …”
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P-TRAP: A panicle trait phenotyping tool by Al-Tam, F., Adam, H., Anjos, A. dos, Lorieux, Mathias, Larmande, Pierre, Ghesquière, Alain, Jouannic, Stefan, Reza Shahbazkia, H

“…Images of rice panicles were used to evaluate the efficiency and robustness of the software. Compared to data obtained by manual processing, P-TRAP produced reliable results in a much shorter time. …”
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Epidemiology of Taenia saginata taeniosis/cysticercosis: A systematic review of the distribution in central and western Asia and the Caucasus by Torgerson, Paul R., Abdybekova, A.M., Minbaeva, G., Shapiyeva, Z., Thomas, Lian F., Dermauw, Veronique, Devleesschauwer, Brecht, Gabriël, S., Dorny, P., Braae, U.C., Saratsis, A., Robertson, L.J., Bobić, B.

“…Data for human taeniosis and bovine cysticercosis were found for all countries except Turkmenistan. …”
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Mise en evidence des facteurs du paysage agissant sur la repartition de la faune dans une concession forestiere by Vliet, N. van, Nasi, Robert

“…However, a number of improvements are proposed to facilitate processing for data products. Analyses of this type help to design more effective management directives to take fauna dynamics into account on the scale of the landscape.…”
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Innovative digital technologies to monitor and control pest and disease threats in Root, Tuber, and Banana (RT&B) cropping systems: progress and prospects by Kreuze, Jan F., Adewopo, Julius, Selvaraj, Michael, Mwanzia, Leroy, Kumar, P. Lava, Cuéllar, Wilmer Jose, Legg, James P., Hughes, D.P., Blomme, Guy

“…We also present ideas on the use of image recognition from smartphones or unmanned aerial vehicles (UAVs) for pest and disease monitoring and data processing for modeling, predictions, and forecasting regarding climate change. …”
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Value chain interventions for improving women's economic empowerment: A mixed‐methods systematic review and meta‐analysis: A systematic review by Malhotra, Suchi Kapoor, Mantri, Swati, Gupta, Neha, Bhandari, Ratika, Armah, Ralph Nii, Alhassan, Hamdiyah, Young, Sarah, White, Howard, Puskur, Ranjitha, Waddington, Hugh Sharma, Masset, Edoardo

“…The review includes effectiveness studies (experimental and non-experimental studies with a comparison group) and process evaluations. Data Collection and Analysis Two review authors independently assessed studies for inclusion, extracted data, critically appraised the studies, and synthesised findings. …”
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Optimizing livestock farming in urban agriculture by Grace, Delia, Cook, Elizabeth A.J., Lindahl, Johanna F.

“…This increased demand, alongside infrastructure challenges making transporting and storing LP challenging, encourages urban livestock, close to the final consumer. While data on urban livestock keeping is limited, substantive evidence indicates that large numbers of livestock are kept, and that many processing and retailing activities occur in cities. …”
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Third National Fadama Development Financing II Impact Study Household Survey in Bauchi by International Food Policy Research Institute

“…A total of 1800 households were sampled in both project treatment communities and non-project control communities. The Survey data has information on insecurity conflicts and how these insecurity conflicts impacted on household migration and socio-economic conditions, humanitarian support received, value addition and agricultural processing, agricultural input aid received, demographic characteristics, crop production, livestock production, non-farm income, Fishing, and Aquaculture Income, beekeeping income, forestry and agroforestry income, wildlife income, food insecurity assessment, household dietary diversity, access to marketing infrastructure, productive assets, non-productive assets, access to credit, access to market information and extension. …”
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Artificial Neural Networks in Agriculture, the core of artificial intelligence: What, When, and Why by Castillo-Gironés, Salvador, Munera, Sandra, Martinez-Sober, Marcelino, Blasco, José, Cubero, Sergio, Gómez-Sanchis, Juan

“…These models simulate the human nervous system’s structure, allowing them to learn hierarchical features from the data and solve nonlinear problems efficiently. …”
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