Agricultural Sciences

Agricultural Sciences

ISSN Print: 2156-8553
ISSN Online: 2156-8561
www.scirp.org/journal/as
E-mail: as@scirp.org
"Traditional capacity for weather prediction, variability and coping strategies in the front line states of nigeria"
written by Shukurat Adunni Sanni, Kolapo Olatunji Oluwasemire, Nnadozie Okonkwo Nnoli,
published by Agricultural Sciences, Vol.3 No.4, 2012
has been cited by the following article(s):
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[10] Gender roles in Agriculture and natural resources management in upper east region, Ghana
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[12] Climate Smart Adaptations in the African Tropics: Scaling Weather Information for Decision Support Outcomes in Nigeria Savannahs
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[13] The Best of Both Worlds: A Decision-Making Framework for Combining Traditional and Contemporary Forecast Systems
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[14] Relevance of indigenous knowledge in weather and climate forecasts for agricultural adaptation to climate variability and change in Malawi
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[15] Revisiting Indigenous Biotic and Abiotic Weather Forecasting for Possible Integration with Scientific Weather Prediction: A Case from the Borana People of South …
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[16] Revisiting indigenous biotic and abiotic weather forecasting for possible integration with scientific weather prediction: a case from the Borena people of South Ethiopia
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[17] Impacts of drought and responses of rural populations in West Africa: a systematic review
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[18] Grazing game: a learning tool for adaptive management in response to climate variability in semiarid areas of Ghana
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[19] An archaeological investigation in Shira region, Bauchi, northeast Nigeria
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[20] Opportunities and challenges of indigenous biotic weather forecasting among the Borena herders of southern Ethiopia
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[21] Indigenous Knowledge for Environmental Prediction in the Pacific Island Countries
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[22] SUSTAINABILTY OF INDIGENOUS KNOWLEDGE IN SEASONAL RAINFALL FORECAST AND FARMING DECISION IN SEMI-ARID AREAS OF KATSINA STATE, NIGERIA
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[24] EFFECT OF VARIATION IN ONSET AND CESSATION DATES ON GINGER YIELD IN KACHIA AREA OF KADUNA STATE
[25] Capturing Fading Indigenous Knowledge of Forecasting Rainfall and Drought, A Case of Makonde District, Zimbabwe
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