2017 ◽  
Vol 13 (3) ◽  
pp. 279
Author(s):  
Grégoire Paraïso ◽  
Bienvenu Adjoha ◽  
Armand Paraïso ◽  
Roméo Ayélerou ◽  
Zackari Orou-Goura

Beekeeping is a very interesting activity having a positive impact on agricultural production and rural incomes. This study conducted in both municipalities of Djidja and Zogbodomey, in southern Benin, aimed at analyzing the determinants and constraints of beekeeping activities. For this purpose, a sample of 110 beekeepers randomly selected was investigated. Data about socio-economic and demographic characteristics of households as well as the difficulties in beekeeping were collected through individual interviews and focus groups. The statistical analysis done with R software version 3.1.2 have shown that beekeeping in the study area was influenced by three important socio-economic factors such asthe municipality of the producer, , literacy level and the producer belonging to a village agricultural association. The studies also revealed that the development of beekeeping faced many problems such as: the lack of financial resources, the low level of knowledge in beekeeping techniques, the lack of extension services, the high level of parasitism and other forms of constraints as theft, bush fire. Taking into account these results will allow to pay more attention on farmers’ and beekeepers situation what will be a means of alleviating of rural poverty.


2007 ◽  
Vol 193 (2588) ◽  
pp. 20-21
Author(s):  
Ian Jackson
Keyword(s):  

Author(s):  
H Durrant-Whyte

This paper describes the current state-of-the-art in autonomous land vehicle (ALV) systems and technology. Application of ALV systems span relatively structured domains in mining, cargo handling, and agriculture, through potential application in very unstructured tasks such as bush fire fighting, forestry, and defence. In this paper, four key functional ALV technology areas are identified and discussed. These are mobility, localization, navigation, and planning. The essential conclusion of this paper is that the necessary sensors, algorithms, and methods already exist to develop, demonstrate, and commercialize ALVs in many applications.


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