Search Results - Intelligence levels.

Detection of banana plants and their major diseases through aerial images and machine learning methods: A case study in DR Congo and Republic of Benin by Gómez Selvaraj, Michael, Vergara, Alejandro, Montenegro, Frank, Alonso Ruiz, Henry, Safari, Nancy, Raymaekers, Dries, Ocimati, Walter, Ntamwira, Jules Bagula, Tits, Laurent, Omondi, Bonaventure Aman Oduor, Blomme, Guy

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Options for digital twin application in developing country river basin management: a review by Botai, Joel O., Ghosh, Surajit, Matheswaran, Karthikeyan, Dickens, Chris, Langa, Nkateko, Garcia Andarcia, Mariangel

“…The review concludes by exploring the integration of Artificial Intelligence (AI) in the context of DT for river basins. …”
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Digital Agroclimatic Plot: An open-field laboratory where technology and agriculture come together to transform farming by Barrios, Camilo, Amaya, Alejandra, Arce, Daniela

“…This infrastructure allows for continuous and precise monitoring of key variables related to crops, soil, and climate, such as pH, NPK, temperature, moisture, electrical conductivity, and water table levels, through data transmission networks like LoRaWAN. …”
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A model of reusable assets in AIE software systems = Un modelo de activos reusables dentro de la ingeniería de sistemas de inteligencia artificial by Cechich, Alejandra, Bucella, Agustina, Villegas, Carolina, Montenegro, Ayelen, Muñoz, Angel Rafael, Rodriguez, Andrea Betiana

“…Nowadays, due to the increasing presence of artificial intelligence in software systems, development teams face the challenge of working together to integrate tasks, resources, and roles in a new field, named AI Engineering. …”
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Impacts Dashboard for Genetic Innovation by Demont, Matty, Lenaerts, Bert

“…The Priority Setting Dashboard for Genetic Innovation v2.0 is a prototype that will be integrated into the Global Market Intelligence Platform in 2023, which is one of the core innovations of the CGIAR Initiative on Market Intelligence.…”
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Systematic Review of BPAT and CRP Evaluations on Market Segmentation and Target Product Profile Development in CGIAR Breeding Programs by Friedmann, M., Pede, V., Polar, Vivian, Rice, Brendan, Webber, H.

“…Due to variety adoption levels that have been below expectations (Thiele et al., 2020), there has been a shift in CGIAR breeding programs towards more demand-led-breeding. …”
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Business models of SMEs as a mechanism for scaling climate smart technologies: The case of Punjab, India by Groot, AE, Bolt, JS, Jat, Hanuman Sahay, Jat, Mangi Lal, Kumar, M., Agarwal, T, Blok, V.

“…Many Climate Smart Agricultural (CSA) technologies fail to achieve their full potential impact due to low levels of adoption by smallholder farmers and difficulties in scaling CSA. …”
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Strong demand for early-maturity maize in Kenya by Rutsaert, Pieter, Donovan, Jason

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AgWise: Modular decision support tools integrating data, models, and AI for site-specific agronomy and soil health management recommendations by Abera, Wuletawu, Mkuhlani, Siyabusa, Tibebe, Degefie, Assefa, Feben, Leroux, Louise, Seid, Jemal, Srivastava, Amit, Aguilar Ariza, Andres, Devkota Wasti, Mina, Ibrahim, Ali, Kouadio, Louis, Liben, Feyera, Llanos Herrera, Lizeth, Cherenet, Meklit, Corbeels, Marc, Kihara, Job, Vanlauwe, Bernard

“…AgWise responds to this challenge by rethinking how agronomic intelligence is structured and deployed. Rather than treating artificial intelligence as a stand-alone solution, AgWise is designed as an embedded decision intelligence system that integrates agronomic science, data, models, expert knowledge, and AI within a single, coherent framework. …”
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Aflatoxin free groundnuts: How to bring it to your table by Khaemba, C., Kitoto, V., Rutsaert, P., Muindi, P., Mbugua, A.

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How to swarm? Organizing for sustainable and equitable food systems transformation in a time of crisis by Korner, Jana, Thornton, Philip K., Klerkx, Laurens

“…Accelerating food systems transformation in the face of climate change and other global crises requires myriad changes across all levels, themes, and geographies. This calls for re-thinking the roles of agricultural research for development (AR4D). …”
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Machine learning technique unraveled subspecies-specific ionomic variation with the preferential mineral enrichment in rice by Tiozon, Rhowell N., Buenafe, Reuben James, Jain, Vinay, Sen, Partha, Molina, Lilia R., Anacleto, Roslen, Sreenivasulu, Nese

“…Classification models derived for multidimensional ionomics data using a random forest model, support vector machine, and artificial neural network predicted three distinct groups that differ in ionomic levels with higher prediction accuracy (76.8%–85.1%). …”
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From the basics to emerging diagnostic technologies: What is on the horizon for tilapia disease diagnostics? by Ha Thanh Dong, Chaijarasphong, T., Barnes, A.C., Delamare-Deboutteville, Jerome, Lee, P.A., Senapin, S., Mohan, Chadag V., Tang, K.F.J., McGladdery, S.E., Bondad-Reantaso, M.G.

“…This review, therefore, revisits and highlights the importance of the three levels of diagnostics for diseases of tilapia, particularly the frequently overlooked basic procedures (e.g., case history records, gross pathology, presumptive diagnostic methods and histopathology). …”
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Measurement and reporting of climate-smart agriculture: technical guidance for a countrycentric process by Nowak, Andreea C., Wilkes, Andreas, Rosenstock, Todd S.

“…Given the extent of climate-smart agriculture (CSA) initiatives at project, national, regional and global levels, there is increasing interest in tracking progress in implementing CSA at national level. …”
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Eliciting Farmers’ Rice Trait Preferences in Southern Asia and South-eastern Asia through the Investment Game Application by Ynion, Jhoanne, Dixit, Shalabh, Paguirigan, Neale Marvin, Custodio, Marie Claire, Demont, Matty

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Gendered analysis of rice product profiles, Côte d’Ivoire by Ndour, Maimouna, Ly, Cheikh Oumar, Kokola Assienan, Juliette, Mujawamariya, Gaudiose, Yadav, Shailesh

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Adoption of Climate-Smart Agricultural Practices (CSAPs) in Ethiopia by Abegaz, Assefa, Abera, Wuletawu, Jaquet, Stephanie, Tamene, Lulseged D.

“…This Ethiopian review reveals a need to fill research gaps in methodologies and practices, and at all levels in all regions, particularly in drought-prone regions. …”
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Improving marketing strategies of local rice in Ghanaian cities: A perspective from a survey of rice purchasers by Soullier, Guillaume, Sy, Mariam Maki, Agyei-Holmes, Andrew, Méndez del Villar, Patricio

“…Third, the brief recommends differentiating local rice through branding strategies at the level of value chain actors or geographical areas. …”
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Development of Climate Smart Governance Dashboard to support national climate action and resilience building by Attoh, Emmanuel M. N. A. N., Amarnath, Giriraj, Sahana, V., Okem, Andrew, Panjwani, Shweta, Shashanka, G., Ukwattage, Sachini, Seelanatha, Kaushika, Alahacoon, Niranga

“…This research report introduces a novel CSG dashboard designed with integrated capabilities to monitor, analyze, and visualize climate information across sectors and administrative levels. Leveraging advanced software architecture for greater user interaction, the dashboard features nine modules: country overviews, adaptation catalogs, climate outlooks, geo-intelligence, project trackers, monitoring and evaluation, and investment planning, nationally determined contribution tracker and development indicators. …”
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Urban Farming: Production comparison of Basil and Oak Leaf lettuce in two hydroponic growing systems : an industrial collaborated study in Sweden by Malik, Omer Hafeez

“…Further studies are needed to investigate the crop production potential on commercial scale with precision farming, integration of AI (artificial intelligence) and IOT (internet of things) along with complete control on factors like temperature, humidity, CO2 levels, light and nutrients.…”