The word phenotyping can nowadays invoke visions of a drone or phenocart moving swiftly
across research plots collecting high-resolution data sets on a wide array of traits. This has …

Classical univariate and multivariate statistics are the most common methods used for data
analysis in plant breeding and biotechnology studies. Evaluation of genetic diversity …

In this paper, we provide a review of the research dedicated to applications of data science
techniques, and especially machine learning techniques, in relevant agricultural systems …

Agricultural production faces a Herculean challenge to feed the increasing global
population. Food production systems need to deliver more with finite land and water …

Recently, Artificial intelligence (AI) has emerged as a revolutionary field, providing a great
opportunity in shaping modern crop breeding, and is extensively used indoors for plant …

Indigenous communities across the globe, especially in rural areas, consume locally
available plants known as Traditional Food Plants (TFPs) for their nutritional and health …

Genomic prediction tools support crop breeding based on statistical methods, such as the
genomic best linear unbiased prediction (GBLUP). However, these tools are not designed to …

Despite being the world's most widely grown crop, research investments in wheat (Triticum
aestivum and Triticum durum) fall behind those in other staple crops. Current yield gains will …

Novel crop improvement approaches, including those that facilitate for the exploitation of
crop wild relatives and underutilized species harboring the much-needed natural allelic …

Background Maize (Zea mays L.) is a principal cereal crop cultivated worldwide for human
food, animal feed, and more recently as a source of biofuel. However, as a direct …