2019
DOI: 10.1088/1742-6596/1176/4/042074
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Rice Farmers’ Perceptions and Indicators for Weather Variability in Tanzania: What are the Obstacles for in situ Adaptations?

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Cited by 6 publications
(7 citation statements)
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“…The results of this study on farmers' perceptions of societal and environmental change in the coastal zone of southern Benin show that farmers are well aware of climate change and urbanization, as more than 90% of farmers surveyed perceived climate change and 87% perceived urbanization. Several studies in Benin, Africa and the world have already given similar results (Gnanglè et al, 2011;Rickards and Howden, 2012;Baudoin et al, 2013;Attingli et al, 2016;Mutunga et al, 2017;Concha, 2018;Meldrum et al, 2018;Kulyakwave et al, 2019;Lemi and Hailu, 2019). The main changes observed are rainfall disturbances (fewer days, delayed rainfall, early cessation, poor rainfall distribution, etc.…”
Section: Typology Of Market Gardeningmentioning
confidence: 58%
“…The results of this study on farmers' perceptions of societal and environmental change in the coastal zone of southern Benin show that farmers are well aware of climate change and urbanization, as more than 90% of farmers surveyed perceived climate change and 87% perceived urbanization. Several studies in Benin, Africa and the world have already given similar results (Gnanglè et al, 2011;Rickards and Howden, 2012;Baudoin et al, 2013;Attingli et al, 2016;Mutunga et al, 2017;Concha, 2018;Meldrum et al, 2018;Kulyakwave et al, 2019;Lemi and Hailu, 2019). The main changes observed are rainfall disturbances (fewer days, delayed rainfall, early cessation, poor rainfall distribution, etc.…”
Section: Typology Of Market Gardeningmentioning
confidence: 58%
“…This demonstrates a direct correlation between growing farm size and rising productivity. The results obtained by Chau and Ahamed (2022), David et al (2022), Musaba and Mukwalikuli (2019) and Kulyakwave et al (2019) indicate that land area is a primary determinant of rice yield. Farmers who have secondary occupations are 516% more likely to increase yield than those who do not engage in secondary occupations.…”
Section: Determinants Of Csa Technologies Adoption and Socioeconomic ...mentioning
confidence: 91%
“…The logistic Regression Model was used to determine the factors influencing rice farmers to adopt or not adopt irrigation technology in the event of less moisture availability in the study region. Many authors have widely used logistic regression to solve problems with dichotomous decisions (Kulyakwave et al, 2019). For instance, (Ntashangase et al, 2018) used the model successfully to determine the influencing factors ‹ 61 › for farmers to adopt Conservation Agriculture (CA) in South Africa.…”
Section: Empirical Model Estimationmentioning
confidence: 99%