Reinforcement learning (RL), including multi-armed bandits, is a branch of machine learning
that deals with the problem of sequential decision-making in uncertain and unknown …

Farmers have access to many data‐intensive technologies to help them monitor and control
weeds and pests. Data collection, data modelling and analysis, and data sharing have …

Over the last eight years, the volume of whole genome, gene expression, SNP genotyping,
and phenotype data generated by the cotton research community has exponentially …

Many vocabularies and ontologies are produced to represent and annotate agronomic data.
However, those ontologies are spread out, in different formats, of different size, with different …

Abstract The Plant Ontology (PO; http://www. plantontology. org/) is a publicly available,
collaborative effort to develop and maintain a controlled, structured vocabulary ('ontology') of …

Genebanks play an important role in the long-term conservation of plant genetic resources
and are complementary to the conservation of diversity in farmers' fields and in nature. In this …

The Crop Ontology (CO) of the Generation Challenge Program (GCP)(http://cropontology.
org/) is developed for the Integrated Breeding Platform (IBP)(http://www. integratedbreeding …

Agricultural research increasingly seeks to quantify complex interactions of processes for a
wide range of environmental conditions and crop management scenarios, leading to …

Increasing the efficiency of agricultural production is a very important task. To solve this
problem, it is proposed to use the “Smart Farming” cloud system for precision farming …

Potato (Solanum tuberosum L.), mankind's third most consumed food crop, originated as an
interspecific hybrid in the Andean highlands. More than 100 species closely related to potato …