Titlebook: Lessons learned from Long-term Soil Fertility Management Experiments in Africa; Andre Bationo,Boaz Waswa,Koala Saidou Book 2012 Springer S

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A. Abdou,S. Koala,A. Bationocaptured from the recording car. The difference in the physical properties illustrated by the geometric data indicates that the labelling is a good indicator of the relative condition of the turnout. When the data are labelled, supervised learning can be used to optimize the predictive power of mach

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A. Bationo,A. K. Pinto-Toyi,E. Ayuk,A. U. Mokwunye sensors architecture and communication, and to identify optimum sensor location along the track. The system was tested in a lab environment before the inbuilt technology was mounted in field demonstration. The system was installed in track infrastructure and the different stages and levels were tes

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periences on long-term experimentation with the reader.Soil This book elucidates the importance of long-term experiments in revealing evidence of soil fertility decline in Africa. An evaluation of experiences from on-going long-term experiments is given in broad detail. The first chapter explains th

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Book 2012rom on-going long-term experiments is given in broad detail. The first chapter explains the paradigm shift in soil fertility management then provides justification for long-term experiments before illuminating experiences from long-term experiments in East, West and Southern Africa. The second, sixt

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Book 2012c agro-ecological zones in West Africa. The rest of the chapters (chapter three, four, five and seven) address crop management, tillage practices and, organic and inorganic fertilizer applications in the context of long-term experiments in specific agro-ecological zones in East Africa.

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A. Bationo,B. Waswa,A. Abdou,B. V. Bado,M. Bonzi,E. Iwuafor,C. Kibunja,J. Kihara,M. Mucheru,D. Mugento generate the initial population of the Bees Algorithm. The proposed method is adopted with the Bees Algorithm to find the shortest collision-free path for a mobile robot in static environments. The environment is represented using a 2D configuration space method that includes the robot and statio

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B. V. Bado,A. Bationo,F. Lompo,K. Traore,M. P. Sedogo,M. P. Cescas curves which can be obtained by performing a pulsating hydraulic bulge test. In this study, the input parameters of a pulsating hydraulic bulge test with titanium alloy sheets (Ti-6Al-4 V) are optimised using the Bees Algorithm (BA). The input parameters are amplitude and base pressure; bulge heigh