INTERPAKS, Summarizes the main issues involved in acquisition of technology for production in Africa. Focuses attention on the areas of concern covered which are of importance for each sub-sector of production in industry and agriculture.
16 pages, The round sardinella, Sardinella aurita, is the most important species in the North Sinai fisheries; it represents about 85 % of the total catch in the North Sinai fisheries, yet the fishing activities are still based on traditional methods, like gathering information from fellow fishermen. The fishing grounds constantly change due to environmental factors; therefore, determining the potential fishing zones (PFZs) must depend on effective and advanced techniques to monitor the optimal (PFZs) for Sardinella aurita along the North Sinai coastal zone. This study integrated the daily Sentinel-3 satellite's remotely sensed data, advanced digital imagery processing techniques, and fish yield data obtained from the General Authority for Fish Resources Development (GAFRD) for Sardinella aurita in the North Sinai fisheries during 2021 to build a suitable model for determining, monitoring, and predicting the other optimal (PFZs) for Sardinella aurita along the North Sinai coastal zone. The results confirmed that, regarding the total catch of Sardinella aurita in 2021, the highest catch reached 73, 68, and 47 tons in April, December, and November, respectively, while the lowest catch reached 6 tons in January. The predicted PFZs resulting from the model are estimated to be 7 times more than the fishing grounds where fishermen currently fish. Moreover, the results confirmed the strong linkage between Sardinella aurita abundance and chlorophyll-a (Chl-a) concentration with sea surface temperature (SST). This study highlighted the importance of using remotely sensed data to help increase the national income from the fisheries sector by determining and predicting new fishing zones.
Esfahani, Latifeh Pour Mohammad Badher (author), Asadiyeh, Zahra Shojaei (author), and Faculty of Engineering, University of Shahrekord, Shahrekord, Iran
School of Agriculture, Shahrekord University, Shahrekord, Iran
Format:
conference papers
Publication Date:
2009
Published:
International: IEEE - Inst. Electrical Electronics Engineers Inc.
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 163 Document Number: D08177
Notes:
Article number 5454875, pp. 3528-3531, 1st International Conference on Information Science and Engineering, ICISE2009; Nanjing; China; 26 December 2009 through 28 December 2009; Category numberE3887; Code 80401
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 47 Document Number: B05712
Notes:
In T. M. Arndt, D. G. Dalrymple, and V. W. Ruttan (Eds.), Resource allocation and productivity in national and international agricultural research. Minneaspolis, MN: University of Minnesota Press. 209-236.
