Trends in Agricultural digitalisation – Machine Learning and Analytics

According to Forbes, machine learning is one of the most innovative pieces of digital transformation as it can start way before the planting of the seed, with plant breeders. Machine learning can predict which traits and genes will be best for crop production, giving farmers the best breed for their location and climate.

Machine learning algorithms can also be used within the manufacturing aspect of agriculture, where consumers purchase their products. These algorithms can show which products are being purchased the most and which products are falling under in the market. Thus, creating proficient and effective forecasts for future farming.

Farmers will benefit from each of these digital transformation trends in agriculture providing a better yielding crop and the ability to manage their crops in an environmentally-friendly and more efficient method.