Search Results - Performance Measurement.

Re-establishing agriculture as a priority for development policy in Sub- Saharan Africa by Abdulai, Awudu, Delgado, Christopher L.

“…They have lacked popular participation and private-sector involvement, and have also been affected by recent austerity measures and by reductions in donor assistance to agriculture.…”
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Evaluación del modelo de capacidades dinámicas en el sector ovino de Castilla-La Mancha (España) by Bastanchury López, María Teresa, Romo Romero, Santiago Martín, De Pablos Heredero, Carmen, García Martínez, Antón Rafael

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Grazing trials in the U.S. Virgin Islands by Oakes, A.J.

“…Productive capacity was measured as livestock-sustaining capacity. profits in the animal and meat production. …”
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Neopatrimonialism and agricultural protection: The case of maize in Malawi by Phiri, Horace, Edriss, Abdi Khalil

“…Three dimensions are used to measure neopatrimonialism – systematic clientelism, a power concentration index, and control of corruption. …”
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Digital Technologies, Big Data, and Agricultural Innovation by Sonka, S.T.

“…Innovation in agricultural practices and food system performance is urgently needed to effectively respond to societal challenges of today and tomorrow. …”
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Termochip för hästar : jämförelse med rektal temperatur och beteende vid mätning by Monto Zale, My

Changes in iron status are related to changes in brain activity and behavior in Rwandan female university students: Results from a randomized controlled efficacy trial involving ir... by Wenger, Michael J., Rhoten, Stephanie E., Murray-Kolb, Laura E., Scott, Samuel P., Boy, Erick, Gahutu, Jean-Bosco, Haas, Jere D.

“…Background: Evidence suggests that iron deficiency (ID) affects cognitive performance, as measured in behavior. Although such effects must be mediated by changes in the brain, very few studies have included measures of brain activity to assess this relation. …”
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Scalable, low-cost livestock bodyweight estimation for Sub-Saharan African production systems using robust segmented heart-girth equations by Hawkins, James, Broonsvort, Barend M.deC, Odadi, W.O., Gurmu, Endale Balcha, Garcia, Edward, Assouma, M.H, Dossa, L.H., Leitner, Sonja, Arndt, Claudia

“…Accurate prediction of bodyweight (BW) from measurable animal characteristics serves many practical purposes for livestock farmers in sub-Saharan Africa, where weighing scales are often impractical or unaffordable. …”
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Evaluation of the Penman–Monteith reference evapotranspiration under limited data and its sensitivity to key climatic variables under humid and semiarid conditions by Koudahe, K., Djaman, K., Adewumi, J.K.

“…The objectives of this study were to assess the accuracy of FAO Penman Monteith equation (FAO PM) under limited data conditions and to perform sensitivity analysis to determine approximately the change in reference evapotranspiration (ETref) expected for a known change in one of the independent variables and derive the sensitivity coefficient. …”
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Multifunctional retention pond for stormwater management: a decision-support model using Analytical Network Process (ANP) and Global Sensitivity Analysis (GSA) by Keyvanfar, A., Shafaghat, A., Ismail, N., Mohamad, S., Ahmad, H.

“…Water-sensitive strategies and water-sensitive urban design and planning can manage stormwaters through multifunctional retention ponds; however, urban professionals seek an assessment model that evaluates and quantifies the performance of multifunctional retention ponds on stormwater management. …”
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Pixels to pasture: Using machine learning and multispectral remote sensing to predict biomass and nutrient quality in tropical grasslands by Zwick, Mike, Cardoso, Juan Andres, Gutiérrez-Zapata, Diana María, Cerón-Muñoz, Mario, Gutiérrez, Jhon Freddy, Raab, Christoph, Jonsson, Nicholas, Escobar, Miller, Roberts, Kenny, Barrett, Brian

“…The best performing models varied by site and response variable, with Regularized Random Forest, Partial Least Squares, Random Forests, Bagged Multivariate Adaptive Regression and Bayesian Regularized Neural Networks being the top performing algorithms and Random Forest Stack being the best performing meta learner. …”
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Ryttarens effekt på rörelsesymmetrin hos kliniskt halta hästar när de rids på rakt spår by Steding, Erica

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Detection of adulterations in native stingless bees honey from Argentina using UV–Vis spectroscopy coupled with chemometrics by Marcinkevicius, Karenina, Gennari, Gerardo Pablo, Salomon, Virginia María, Vera, Nancy Roxana, Maldonado, Luis Maria

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Policy-induced market distortions along agricultural value chains: Evidence from Ethiopia and Nigeria by Allen, Summer L., Kassie, Girma T., Majeed, Fahd, Tokgoz, Simla

“…The performance of agrifood value chains of vital importance for smallholder farmers in developing countries. …”
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Potential of market discipline in Pakistan: The bank depositors’ perspective by Mirza, Nawazish, Naqvi, Bushra, Rizvi, Syed Kumail Abbas, Rahat, Birjees

“…The aim of this research is to ascertain whether Pakistan’s financial system is conducive to market disci-pline. We measure the potential of depositors to induce market discipline in the commercial banking sector. …”
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Drought Monitoring and assessment using earth observation data for Zambia by Amarnath, Giriraj, Alahacoon, Niranga

“…IDSI is superior in terms of its performance and drought detection capability and is characterized by better representation of drought severity. …”
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Institutional Capacity Assessment Report for Biliqo, Malkagalla and Gafarsa Rangeland Units, Isiolo County by Guyo, Isacko

“…The tool comprises a set of indicators and levels that measure the performance, governance and resilience of rangeland management institutions and can help identify strengths and weaknesses, monitor changes and provide recommendations for improvement. …”
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Institutional Capacity Assessment for Community Rangeland Management Institutions in Pastoral Areas of Ethiopia by Eba, Bedasa, Flintan, Fiona E., Iya, Golicha, Abdi, Hamse, Said, Mohammed

“…The tool comprises a set of indicators and levels that measure the performance, governance and resilience of rangeland management institutions and can help identify strengths and weaknesses, monitor changes and provide recommendations for improvement. …”
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Methods for studying collective action in rural development by Meinzen-Dick, Ruth S., Di Gregorio, Monica, McCarthy, Nancy

“…With renewed recognition of the importance of collective action in many aspects of agriculture, natural resource management, and rural development programs in developing countries, there is a need for research on the factors that affect its emergence, as well as its performance. Yet because of its dynamic nature, collective action is difficult to measure and study. …”
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Uruguay by Stads, Gert-Jan, Cotro, Beatriz, Allegri, Mario

“…Quantitative data are important in measuring, monitoring, and benchmarking the inputs, outputs, and performance of agricultural science and technology (S&T) systems. …”
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