Abstract

The entire citrus industry is under attack by terminal citrus diseases such as Huanglongbing (HLB) or citrus greening (Candidatus Liberibacter asiaticus), and citrus canker (Xanthomonas axonopodis pv. citri). There is a need to develop fruit quality assessment techniques that can assess the quality of green citrus fruits during the growing season when green fruits are still on the trees. Learning technique is one of the fundamental techniques for fruit quality evaluation.

Highlights

  • The Citrus IndustryMaintaining citrus fruits quality is key to success in the fresh fruit market all over the world

  • The entire citrus industry is under attack by terminal citrus diseases such as Huanglongbing (HLB) or citrus greening (Candidatus Liberibacter asiaticus), and citrus canker (Xanthomonas axonopodis pv. citri)

  • Fruit quality assessment techniques that can assess the quality of green citrus fruits during the growing season when green fruits are still on the trees are vital [2]

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Summary

The Citrus Industry

Maintaining citrus fruits quality is key to success in the fresh fruit market all over the world. Estimating the quantity of fruits in the citrus grove and potential fruit size before harvesting represents the basis for prediction of future fruit yield, planning of incomes, and calculation of net profit [5]. This is relevant in Florida and possibly in some regions of the world where there is a declining availability of seasonal agricultural labour, and growing pressure from worldwide competition in the citrus industry [6]. More especially the citrus industry, there is a developing need to produce and harvest more products of higher quality at a lower input cost. A range of primary and secondary leaf symptoms are associated with HLB, making field diagnosis difficult, unless the typical lopsided greened fruit are present [8]

Machine learning and citrus production
Findings
Machine Vision and Prospects of Innovative Techniques in Green Fruit Detection

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