Arı Kovanlarından Propolis Üretimi için Reçine Bakımından Zengin Alanları Tespit Etmek için Coğrafi Bilgi Sistemlerini ve Uzaktan Algılamayı Kullanma

Propolis (arı tutkalı), tıbbi özellikleri olan arı ürünleri arasında sayılmaktadır. Mısır'daki bitkilerin çoğu, çiftçiler tarafından yetiştirilen tarla bitkileridir. Bu tür mahsuller, nektar/polen ile arı kolonilerine besin sağlayabilir, ancak kısa yaşam döngüleri nedeniyle reçine için iyi kaynaklar değildir. Bu çalışma, uzaktan algılama analizine dayalı olarak arı kolonilerinden yüksek miktarda propolis üretmek için potansiyel alanları keşfetmeyi amaçladı. Çalışma Mısır'da yoğun tarımsal faaliyet gösteren bir Valilik (Assiut Valiliği) üzerinde gerçekleştirilmiştir. Metodoloji, ağaçların çok sayıda coğrafi koordinatlarına dayalı olarak denetimli sınıflandırmanın ardından denetimsiz sınıflandırma kullanılarak uydu görüntüsünden ağaçların yalıtılmasına dayanıyordu. Ağaçlar noktalara aktarılmış ve daha sonra çalışma yerinin yoğunluğa göre sınıflara ayırmak için nokta yoğunluğu hesaplanmıştır. Çok yüksek sayıda ağaç bulunan alanlar, özellikle arıcılar tarafından ticari ölçekte propolis üretimi için tavsiye edildi. Propolis üretimine daha fazla önem verilmesi, arıcıların gelirini artırabilir ve arı kolonilerinden ekonomik faydayı en üst düzeye çıkarabilir.

Anahtar Kelimeler:

Reçine, CBS, Ağaçlar, Yoğunluk, Arıcılık

USING GEOGRAPHICAL INFORMATION SYSTEMS AND REMOTE SENSING TO DETECT RESIN-RICH AREAS FOR PROPOLIS PRODUCTION FROM APIARIES

Propolis (bee glue) is considered among bee products with medicinal properties. The majority of plants in Egypt are field crops which cultivated by farmers. Such crops may supply bee colonies with nectar/pollen, but are not good sources for resin due to their short life cycles. This study aimed to explore potential sites for producing high amounts of propolis from bee colonies based on a remote sensing analysis. The study was performed on a Governorate with intensive agricultural activity in Egypt (Assiut Governorate). The methodology depended on isolating trees from the satellite image using unsupervised classification followed by supervised classification based on numerous geographical coordinates of trees. Trees were transferred into points, and then point density was calculated to classify the study location into classes according to density. Sites with the very high numbers of trees were especially recommended for producing propolis on a commercial scale by beekeepers. Giving more attention to propolis production can enhance the income of beekeepers and maximize the economic benefit from bee colonies.

Keywords:

Resin, GIS, Trees, Density, Beekeeping,

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