… be integrated with a predictive breeding strategy, particularly … We propose a smart breeding
scheme, integrated genomic-… data technology, and artificial intelligence (mainly focused on …

… artificial intelligence has recently emerged, which has been suggested to possess extraordinary
potential to assist in breeding climate-resilient smart … To this end, climate-resilient smart …

… into machine learning/artificial intelligence in plant breeding and improvement. In addition,
the review also highlights recent progress made in the implementation of AI in crop breeding …

… artificial intelligence (AI) are perceived as key components of accelerating the plant breeding
… referred to as drones, fly over breeding plots collecting data on individual plants and single …

… In a 2017 PNAS Opinion piece, Walter and colleagues described emerging “smart farming”
… Fortunately, “smart breeding” advances may have wider reach. Once image recognition …

… impact animal breeding programs by … machine learning algorithms, AI can process vast
amounts of genetic data, enabling breeders to identify desirable traits and predict breeding …

… In addition, we suggest that the next breeding revolution will be big data-driven smart
breeding, characterised by the enhanced use of databases, artificial intelligence and automation. …

… breeding methodologies along with state-of-the-art genome-editing tools in integration with
artificial intelligence … Therefore, holistic smart breeding approaches can be promising way out …

The increasing demand of smart agriculture has led to the significant growth and development
in the field of crop estimation and prediction improving its productivity. The analysis of …

… can help in producing climate-smart crops to overcome food … smart agriculture enables the
increased quantity and quality of crops with the help of artificial intelligence, machine learning …