A Brief Review of Big Data in the Agriculture Domain

Catalyzing Holistic Agriculture Innovation Through Industrial Biotechnology

“…[195][196][197][198][199][200] However, agricultural scientists and engineers have the additional challenge of integrating omics data with data sourced from precision agriculture, plant breeding phenomics, economics and market sectors, and governmental regulations, just to name a few. 199,[201][202][203] This adds an additional layer of complexity for harnessing these massive datasets for generating viable and sustainable solutions for Fig. 3.…”

“…Despite the complexities and constraints just mentioned, we are seeing many successes in big data and digitalization in agricultural production and research. 147,200,203 If done correctly, ''digitization allows functionalities to be combined even if they come from different domains, because once they enter the digital domain, they become objects of the same type-data stringsthat can therefore be acted upon in the same way.'' 87 However, as we have observed in our industrial biotechnology innovation activities, getting it done correctly is important.…”