![]() Furthermore, crop management was observed to be at the centre of attention. The results indicated that this topic pertains to different disciplines that favour convergence research at the international level. Only journal papers were considered eligible that were published within 2018–2020. ![]() The present study aims at shedding light on machine learning in agriculture by thoroughly reviewing the recent scholarly literature based on keywords’ combinations of “machine learning” along with “crop management”, “water management”, “soil management”, and “livestock management”, and in accordance with PRISMA guidelines. A subset of artificial intelligence, namely machine learning, has a considerable potential to handle numerous challenges in the establishment of knowledge-based farming systems. ![]() The digital transformation of agriculture has evolved various aspects of management into artificial intelligent systems for the sake of making value from the ever-increasing data originated from numerous sources. ![]()
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