In recent years, many efforts have been made to apply image processing techniques for
plant leaf identification. However, categorizing leaf images at the cultivar/variety level …

Leaf image patterns have been actively researched for plant species recognition. However,
as a very challenging fine-grained pattern identification issue, cultivar recognition in which …

Soybean cultivar recognition plays a vital role in cultivar evaluation, selection and
production. Recently, there is an increasing interest in taking leaf image patterns as clues for …

Proper detection of pests and diseases in crop production is essential to increase
agricultural production in a sustainable way. For this reason, the term Agriculture 4.0 is …

Recognizing plant cultivars reliably and efficiently can benefit plant breeders in terms of
property rights protection and innovation of germplasm resources. Although leaf image …

Fine-grained leaf image retrieval (FGLIR) aims to search similar leaf images in subspecies
level which involves very high interclass visual similarity and accordingly poses great …

Shoot architecture refers to the three-dimensional body plan of the above ground organs of
the plant. The patterning of this body plan results from the tight genetic control of the size …

Leaf vein is a common visual pattern in nature which provides potential clues for species
identification, health evaluation, and variety selection of plants. However, as a critical step in …

Deep learning is a compelling technique for feature extraction due to its adaptive capacity of
processing and providing deeper image information. However, for the task of leaf cultivar …

Highlights•A high-accuracy approach of plant genotype classification is
proposed.•Genotypes were classified by simultaneously considering spatiotemporal …