Takeshima, Hiroyuki. Article in press
Wongnaa, Camillus Abawiera; Kudzinawu, Christopher; Nti, Emmanuel Kwame; Babu, Suresh . Article in press
Miller, Joshua D.; Young, Sera L.; Bryan, Elizabeth; Ringler, Claudia. 2024
Dzanku, F.M.; Liverpool-Tasie, Saweda Lenis Onipede; Reardon, Thomas. 2024
Farnworth, Cathy Rozel; Galie, Alessandra; Gumucio, Tatiana; Jumba, Humphrey; Kramer, Berber; Ragasa, Catherine. 2024
Ambler, Kate; Jones, Kelly; Recalde, María P.. 2024
Gelli, Aulo; Nwabuikwu, Odiche; Bannerman, Boateng; Ador, Gabriel; Atadze, Vicentia; Asante, Millicent. 2024
Objectives This study aimed to validate FRANI (Food Recognition Assistance and Nudging Insights), a mobile phone application with computer vision–assisted dietary assessment, against weighed records (WRs) and compare with 24-h recalls (24HR), in female youth in Ghana.
Methods Dietary intake was assessed on 2 nonconsecutive days using FRANI, WR, and 24HR in females aged 18–24 y recruited at the University of Ghana, Accra (n = 64). Equivalence was examined by comparing intake mean ratios (FRANI/WR and 24HR/WR) with error margins of 10%, 15%, and 20%, using mixed-effect regression models adjusting for repeated measures. Agreement between methods was assessed using the concordance correlation coefficient (CCC).
Ambler, Kate; Jones, Kelly; Recalde, María P.. 2024
Aurino, Elisabetta; Gelli, Aulo; Adamba, Clement; Osei-Akoto, Isaac; Alderman, Harold. Madison, WI 2023
Bryan, Elizabeth; Mekonnen, Dawit Kelemework. 2023
Balana, Bedru; Akudugu, Mamudu A.. 2023
Tabe-Ojong, Martin Paul Jr.; Nyam, Yong Sebastien; Lokossou, Jourdain C.; Gebrekidan, Bisrat Haile. 2023
Feed the Future Innovation Lab for Small Scale Irrigation. 2023
Pereira, Audrey; Akaligaung, Akalpa J.; Aborigo, Raymond; Peterman, Amber; Palermo, Tia; Barrington, Clare. 2023
Feed the Future Innovation Lab for Small Scale Irrigation. 2023
Feed the Future Innovation Lab for Small Scale Irrigation. 2023
Feed the Future Innovation Lab for Small Scale Irrigation. 2023
Ansah, Isaac Gershon K.; Kotu, Bekele; Manda, Julius; Muthoni, Francis; Azzarri, Carlo. 2023
Folson, Gloria; Bannerman, Boateng; Atadze, Vicentia; Ador, Gabriel; Kolt, Bastien; McCloskey, Peter; Gangupantulu, Rohit; Arrieta, Alejandra; Braga, Bianca C.; Arsenault, Joanne; Kehs, Annalyse; Doyle, Frank; Tran, Lan Mai; Hoang, Nga Thu; Hughes, David; Nguyen, Phuong Hong; Gelli, Aulo . 2023
Important gaps exist in the dietary intake of adolescents in low- and middle-income countries (LMICs), partly due to expensive assessment methods and inaccuracy in portion-size estimation. Dietary assessment tools leveraging mobile technologies exist but only a few have been validated in LMICs.
Objective
We validated Food Recognition Assistance and Nudging Insights (FRANI), a mobile artificial intelligence (AI) dietary assessment application in adolescent females aged 12–18 y (n = 36) in Ghana, against weighed records (WR), and multipass 24-hour recalls (24HR).
Methods
Dietary intake was assessed during 3 nonconsecutive days using FRANI, WRs, and 24HRs. Equivalence of nutrient intake was tested using mixed-effect models adjusted for repeated measures, by comparing ratios (FRANI/WR and 24HR/WR) with equivalence margins at 10%, 15%, and 20% error bounds. Agreement between methods was assessed using the concordance correlation coefficient (CCC).
Results
Equivalence for FRANI and WR was determined at the 10% bound for energy intake, 15% for 5 nutrients (iron, zinc, folate, niacin, and vitamin B6), and 20% for protein, calcium, riboflavin, and thiamine intakes. Comparisons between 24HR and WR estimated equivalence at the 20% bound for energy, carbohydrate, fiber, calcium, thiamine, and vitamin A intakes. The CCCs by nutrient between FRANI and WR ranged between 0.30 and 0.68, which was similar for CCC between 24HR and WR (ranging between 0.38 and 0.67). Comparisons of food consumption episodes from FRANI and WR found 31% omission and 16% intrusion errors. Omission and intrusion errors were lower when comparing 24HR with WR (21% and 13%, respectively).
Conclusions
FRANI AI–assisted dietary assessment could accurately estimate nutrient intake in adolescent females compared with WR in urban Ghana. FRANI estimates were at least as accurate as those provided through 24HR. Further improvements in food recognition and portion estimation in FRANI could reduce errors and improve overall nutrient intake estimations.
Tabe-Ojong, Martin Paul Jr.; Lokossou, Jaourdain C.; Gebrekidan, Bisrat; Affognon, Hippolyte D.. 2023
Ambler, Kate; de Brauw, Alan; Murphy, Mike. 2023
Kramer, Berber; Timu, Anne G.; Damba, Osman. 2023
Sinharoy, Sheela; Cheong, Yuk Fai; Heckert, Jessica; Seymour, Greg; Johnson, Erin R.; Yount, Kathryn M.. 2023
Resnick, Danielle; Sivasubramanian, Bhavna. 2023
Lefore, Nicole; Ringler, Claudia . 2023
The research program’s five areas of inquiry will develop socio-technical bundles that support uptake of mechanization and irrigation, strengthen institutions for natural resource governance and climate resilience, enable scaling of suitable technologies and support development of human resources. The fifth area of inquiry makes a leap from technology to nutrition and health, with the specific aim to “formulate strategies for nutrition-sensitive mechanization and irrigation that safeguard and enhance health and inclusivity.”
de Jager, Ilse; van de Ven, Gerrie W. J.; Giller, Ken E.; Brouwer, Inge D. . 2023
Hidrobo, Melissa; Palloni, Giordano; Aker, Jenny; Gilligan, Daniel O.; Ledlie, Natasha. 2022
Resnick, Danielle. 2022
Ragasa, Catherine; Agyakwah, Seth Koranteng; Asmah, Ruby; Mensah, Emmanuel Tetteh-Doku; Amewu, Sena; Oyih, Mathew. 2022
Azupogo, Fusta; Abizari, Abdul-Razak; Aurino, Elisabetta; Gelli, Aulo; Osendarp, Saskia J. M.; Bras, Hilde; Feskens, Edith J.; Brouwer, Inge D.. 2022
Ruml, Anette; Ragasa, Catherine; Qaim, Matin. 2022
Aryeetey, Richmond; Atuobi-Yeboah, Afua; Billings, Lucy; Nisbett, Nicholas; van den Bold, Mara; Touré, Mariama. 2022
Bryan, Elizabeth; Garner, Elisabeth. 2022
Ragasa, Catherine; Charo-Karisa, Harrison; Rurangwa, Eugene; Tran, Nhuong; Shikuku, Kelvin Mashisia. 2022
Mellon Bedi, Shaibu; Azzarri, Carlo; Hundie Kotu, Bekele; Kornher, Lukas; von Braun, Joachim. 2022
Musumba, Mark; Palm, Cheryl A.; Komarek, Adam M.; Mutuo, Patrick K.; Kaya, Bocary. 2022
Takeshima, Hiroyuki; Vos, Rob. Rome, Italy 2022
Haile, Beliyou; Mekonnen, Dawit; Choufani, Jowel; Ringler, Claudia; Bryan, Elizabeth. 2022
Ntiri, Prosper; Ragasa, Catherine; Anang, Samuel Afotey; Kuwornu, John K. M.; Torbi, Eva Nimorme. 2022
Pauw, Karl. 2022
Ragasa, Catherine; Mensah, Yaa Osei; Amewu, Sena. 2022
Aberman, Noora-Lisa; Gelli, Aulo; Agandin, John; Kufoalor, Doreen; Donovan, Jason. 2022
Zambrano, Patricia; Wood-Sichra, Ulrike; Ruhinduka, Remidius D.; Nin-Pratt, Alejandro; Komen, John; Kikulwe, Enoch Mutebi; Zepeda, José Falck; Dzanku, Fred M.; Chambers, Judith A.; Phillip, Dayo. 2022
Kamenya, Madalitso A.; Hendricks, Sheryl L.; Gandidzanwa, Colleta; Ulimwengu, John M.; Odjo, Sunday. 2022
Ragasa, Catherine; Amewu, Sena; Agyakwah, Seth Koranteng; Mensah, Emmanuel; Asmah, Ruby. 2022
Braga, Bianca C.; Arrieta, Alejandra; Bannerman, Boeteng; Doyle, Frank; Koch, Bastien; Nguyen, Phuong Hong; Gelli, Aulo. 2022
Quisumbing, Agnes R.; Sproule, Kathryn; Martinez, Elena M.; Malapit, Hazel Jean L.. 2021
Magnan, Nicholas; Hoffmann, Vivian; Garrido, Gissele; Kanyam, Daniel Akwasi; Opoku, Nelson. 2021
Gillespie, Stuart; Harris, Jody; Nisbett, Nicholas; van den Bold, Mara. 2021
Bekoe, Joseph; Balana, Bedru; Nimoh, Fred. 2021
Komarek, Adam M.; Rahman, Nurudeen Abdul; Bandyopadhyay, Arkadeep; Kizito, Fred; Koo, Jawoo; Addah, Weseh. 2021
The accessibility and availability of forages is a common concern in crop-livestock systems in West Africa; however, options to increase forage production may entail trade-offs within the farm system that can be challenging to quantify explicitly.
OBJECTIVE
This study examined how maize (Zea mays L.) leaf stripping affected maize and sheep productivity and associated labour requirements, and farm system trade-offs and synergies in four communities in the Northern Region of Ghana.
METHODS
Maize leaf stripping involved removing almost senesced leaves from maize plants below the cob level at silking. We combined data from three sources: on-farm maize trials with 28 farmers from two seasons (2017 and 2018), on-farm sheep feeding trials where the pasture-based diets of weaner sheep were supplemented with stripped maize leaves fed in pens (conducted in 2019), and farm survey data from 117 households (conducted in 2014), seven of which were in the on-farm maize trials and owned sheep. We examined the trial data using linear mixed-effects models.
RESULTS AND CONCLUSIONS
Maize leaf stripping had no significant effect on maize grain yield but had a significant positive effect on maize forage protein yield from leaf and stover. Offering maize leaves to weaner sheep had a significant positive effect on average daily liveweight gain, estimated marginal mean was 29.3 g with maize leaves and −10.9 g without maize leaves. For the maize-sheep systems of the seven households, non-inferential statistics suggested that on average maize leaf stripping reduced total maize grain production by 12% (range −46 to 38) and increased maize forage protein production from leaf and stover by 90% (range −16 to 298). Stripping the maize leaves from one hectare of land took an extra 34 h (range 27 to 42) of labour, which was counterbalanced by reduced labour time for grazing as sheep were fed the maize leaves in pens. For the 117 farmers, heterogeneity in maize areas planted and livestock numbers resulted in heterogeneous production and labour effects of maize leaf stripping. Farmers qualitatively described how maize leaf stripping released labour so children could spend more time at school rather than shepherding.
SIGNIFICANCE
We quantified in northern Ghana how maize leaf stripping altered crop and livestock productivity and associated trade-offs and synergies in the farm system, including labour. Changes in crop management often have implications beyond the crop's field and examining these implications can provide insights into the suitability of alternative farm management options.
Ambler, Kate; Herskowitz, Sylvan; Maredia, Mywish K.. 2021
Wongnaa, Camillus Abawiera; Apike, Isaac Akurugu; Babu, Suresh Chandra; Awunyo-Vitor, Dadson; Kyei, Afrane Baffour. 2021
Bedi, Shaibu Mellon; Azzarri, Carlo; Kotu, Bekele Hundi; Kornher, Lukas. 2021
Food and Agricultural Organization of the United Nations (FAO); International Food Policy Research Institute (IFPRI). Rome, Italy 2021
Gumucio, Tatiana; Kramer, Berber; Ragasa, Catherine; Pyburn, Rhiannon; Galie, Alessandra; Aredo, Samson Dejene; Jumba, Humphrey; Nimorme, Eva; Omondi, Inmaculate; Sufian, Farha D.. Wageningen, The Netherlands 2021
Balana, Bedru B.; Bizimana, Jean-Claude; Richardson, James W.; Lefore, Nicole; Adimassu, Zenebe; Herbst, Brian K.. 2020
Bellon, Mauricio R.; Kotu, Bekele Hundie; Azzarri, Carlo; Caracciolo, Francesco. 2020
Ruml, Anette; Ragasa, Catherine; Qaim, Matin. Göttingen, Germany 2020
Tuholske, Cascade; Andam, Kwaw S.; Blekking, Jordan; Evans, Tom; Caylor, Kelly. 2020
Thurlow, James; Mueller, Valerie. 2020
Agyakwah, Seth K.; Asmah, Ruby; Mensah, Emmanuel T. D.; Ragasa, Catherine; Amewu, Sena; Tran, Nhuong; Oyih, Mathew; Ziddah, Peter. 2020
Agyakwah, Seth K.; Asmah, Ruby; Mensah, Emmanuel T. D.; Ragasa, Catherine; Amewu, Sena; Tran, Nhuong; Oyih, Mathew; Ziddah, Peter. 2020
Agyakwah, Seth K.; Asmah, Ruby; Mensah, Emmanuel T. D.; Ragasa, Catherine; Amewu, Sena; Tran, Nhuong; Oyih, Mathew; Ziddah, Peter. 2020
Aquaculture has existed in Ghana since the 1950s, though the sector didn’t experience major growth until around 2000, when large-scale commercial production began. Today, it plays a key role in the nation’s prosperity, contributing to food security by augmenting domestic fish production and creating jobs. Even so, challenges that have historically plagued the sector and hindered growth remain pervasive. These include low technical know-how and a lack of quality inputs such as seed and feed. Although knowledge in the sector has increased over the years, small-scale farmers (most of whom are indigenous) continue to struggle with basic farming practices. As a result, they’re often faced with poor yields, which can ultimately lead to a farm’s collapse. The Tilapia Seed Project is aimed at accelerating quality tilapia seed production and dissemination in Ghana. Project stakeholders produced this manual to provide accurate direction to small-scale fish farmers in Ghana. After reviewing its contents, we expect that it will prove instrumental in helping farmers improve production, and that it will serve as a valuable catalyst for growth in this important sector.
Barnett, Inka; Batchelor, Simon; Billings, Lucy; Faith, Becky; Gilligan, Daniel; Gordon, Jessica; Hidrobo, Melissa; Palloni, Giordano; Scott, Nigel. Brighton, UK 2020
Adimassu, Zenebe; Balana, Bedru B.; Appoh, Richard; Nartey, Eric. 2020
Wongnaa, Camillus Abawiera; Babu, Suresh Chandra. 2020
Barnett, Inka; Gordon, Jessica; Faith, Becky; Gilligan, Daniel O.; Hidrobo, Melissa; Palloni, Giordano; Batchelor, Simon; Scott, Nigel. 2020
Adams, Abdulai; Balana, Bedru; Lefore, Nicole. 2020
Takeshima, Hiroyuki; Liu, Yanyan. 2020
Yokying, Phanwin; Lambrecht, Isabel. 2020
Azupogo, Fusta; Abizari, Abdul-Razak; Aurino, Elisabetta; Gelli, Aulo; Osendarp, Saskia J. M.. 2020
Ragasa, Catherine; Andam, Kwaw S.; Asante, Seth; Amewu, Sena. 2020
Amewu, Sena; Asante, Seth; Pauw, Karl; Thurlow, James. 2020
Azupogo, Fusta; Aurino, Elisabetta; Gelli, Aulo; Bosompem, Kwabena M.; Ayi, Irene; Osendarp, Saskia J. M.; Brouwer, Inge D.; Folson, Gloria. 2019
Houssou, Nazaire; Asante-Addo, Collins; Andam, Kwaw S.; Ragasa, Catherine. 2019
Haile, Beliyou; Signorelli, Sara; Azzarri, Carlo; Guo, Zhe. 2019
Janssens, Charlotte; Van den Broeck, Goedele; Maertens, Miet; Lambrecht, Isabel. 2019
Kramer, Berber; Lambrecht, Isabel. 2019
perceived skills. We conclude that both men and women reveal a strong preference for a diversity of income-generating activities, which needs to be reflected in programs and policies aiming to improve women’s economic empowerment.
Balana, Bedru B.; Sanfo, Safietou; Barbier, Bruno; Williams, Timothy O.; Kolavalli, Shashidhara. 2019
Gelli, Aulo; Aurino, Elisabetta; Folson, Gloria; Arhinful, Daniel K.; Adamba, Clement; Osei-Akoto, Isaac; Alderman, Harold. 2019
Diao, Xinshen; Magalhaes, Eduardo; Silver, Jed. 2019
Resnick, Danielle. 2019
Mueller, Valerie; Masias, Ian; Vallury, Sechindra. 2019
Cooper, Matthew; Brown, Molly E.; Azzarri, Carlo; Meinzen-Dick, Ruth Suseela. 2019
Resnick, Danielle; Diao, Xinshen; Hazell, Peter B. R.; Kolavalli, Shashidhara. 2019
Hall, Brian J.; Garabiles, Melissa R.; de Hoop, Jacobus; Pereira, Audrey; Prencipe, Leah; Palermo, Tia. 2019
Houssou, Nazaire; Johnson, Michael; Kolavalli, Shashidhara; Asante-Addo, Collins. 2018
Weyori, Alirah Emmanuel; Amare, Mulubrhan; Garming, Hildegard; Waibel, Hermann; . 2018
Ragasa, Catherine; Lambrecht, Isabel; Kufoalor, Doreen S.. 2018
Lambrecht, Isabel; Ragasa, Catherine. 2018
Takeshima, Hiroyuki; Houssou, Nazaire; Diao, Xinshen. 2018
Theis, Sophie; Lefore, Nicole; Meinzen-Dick, Ruth Suseela; Bryan, Elizabeth . 2018
Komatsu, Hitomi; Malapit, Hazel J.; Theis, Sophie. 2018
Andam, Kwaw S.; Tschirley, David; Asante, Seth; Al-Hassan, Ramatu M.; Diao, Xinshen;. 2018
Seymour, Gregory; Peterman, Amber. 2018
Ecker, Olivier. 2018
Thurlow, James. 2018
Lambrecht, Isabel; Schuster, Monica; Asare Samwini, Sarah; Pelleriaux, Laura. 2018
Handa, Sudhanshu; Daidone, Silvio; Peterman, Amber; Davis, Benjamin; Pereira, Audrey; Palermo, Tia; Yablonski, Jennifer. 2018
Andam, Kwaw S.; Asante, Seth. 2018
Resnick, Danielle. 2017
Ragasa, Catherine; Chapoto, Antony. 2017
Babu, Suresh Chandra; De Pinto, Alessandro. Bangalore, India 2017
Andam, Kwaw S.; Tschirley, David; Asante, Seth; Al-Hassan, Ramatu M.; Diao, Xinshen. 2017
Houssou, Nazaire; Diao, Xinshen; Asante-Addo, Collins; Kolavalli, Shashidhara. 2017
Ragasa, Catherine; Chapoto, Anthony. 2017
Ghebru, Hosaena; Lambrecht, Isabel. 2017
Benin, Samuel. 2017
paper assesses the returns to public spending in the agricultural sector, taking into
consideration expenditures on agriculture as a whole and then separately for expenditures in
the cocoa versus the noncocoa subsectors. Different regression methods and related
diagnostic tests are used to address potential endogeneity of agricultural expenditure, crosssubsector
dependence of the production function error terms, and within-subsector serial
correlation of the error terms. The estimated elasticities are then used to calculate the rate of
return to expenditures in the sector as a whole and within the two subsectors.
The elasticity of land productivity with respect to total agricultural expenditure is
estimated at 0.33–0.34. For the noncocoa subsector, the estimated elasticity is 0.66–0.81. And
in the cocoa subsector, it is 0.36–0.43. The returns to total agricultural expenditure are
estimated at 82–84 percent for the aggregate analysis. For the disaggregated sectorial
analysis, the returns to expenditure in the noncocoa subsector are estimated at 437–524
percent, whereas the returns to expenditure in the cocoa subsector are estimated at 11–14
percent. Implications are discussed for raising overall productivity of expenditure in the
sector, as well as for further studies.
McMillan, Margaret S.; Rodrik, Dani; Sepúlveda, Claudia. Cambridge, MA 2017
Fernandes, Meenakshi; Folson, Gloria; Aurino, Elisabetta; Gelli, Aulo. 2017
Ragasa, Catherine. 2016
Gelli, Aulo; Masset, Edoardo; Folson, Gloria; Kusi, Anthony; Arhinful, Daniel K.; Asante, Felix; Ayi, Irene; Bosompem, Kwabena M.; Watkins, Kristie; Abdul-Rahman, Lutuf; Agble, Rosanna; Anase-Baden, Gertrude; Mumuni, Daniel; Aurino, Elisabetta; Fernandes, Meena; Drake, Lesley. 2016
Lambrecht, Isabel; Asare, Sarah. 2016
Lambrecht, Isabel. 2016
Ward, Christopher; Torquebiau, Raphael; Xie, Hua. Washington, D.C. 2016
Wun, Jolene; Namaste, Sorrel; Sununtnasuk, Celeste; Fisseha, Teemar; Forfoe, Wilfred; Bonku, Edward; Moorthy, Denish. Arlington, VA 2016
Fernandes, Meenakshi; Galloway, Rae; Gelli, Aulo; Mumuni, Daniel; Hamdani, Salha; Kiamba, Josephine; Quarshie, Kate; Bhatia, Rita; Aurino, Elisabetta; Peel, Francis; Drake, Lesley. 2016