Vision system for automatic counting of silkworm eggs

Abstract

Sericulture activities involve rearing of pure races as parent seed crop and production of disease free silkworm seeds in grainages. Success of sericulture as a cash crop depends on production of disease free silkworm seeds supplied to farmers. Silkworm egg counting has to be done as farmers look to grainages for supply of silkworm seeds and pay accordingly. Conventional method of counting silkworm eggs relied on manual counting, which is time consuming and labor-intensive. Egg counting has to be done to generate statistics such as fecundity and hatching percentage. This paper presents the development of automatic method for counting of silkworm eggs using image processing algorithm. The algorithm is realized in LabVIEW graphical programming environment that shortens the development cycle. The algorithm realizes high precision and accuracy of counting.