The role of machine learning in tomorrow's agriculture technologies

FARMERS are met with many challenges in their daily activities due to unpredictable weather and geographical conditions, market factors, and local, regional, and national policies. All of these variables directly impact agricultural production and ultimately have a negative effect on the farmer's income. Further, if agricultural activities are disrupted, present needs for food and textiles cannot be met, and if disruptions are prolonged, future needs might be compromised as well. To ensure the sustainability of the agriculture industry, farmers need to be able to make sense of all existing variables and be fully informed about the current state of the ecosystem. This will help them charter the right strategies.