AI would hold the potential of supercharging the already existing agricultural practices in developing countries by provision of state-of-the-art tools and insights to scale up the productivity of the smallholder farmer, such as real-time recommendations concerning planting, watering, and adding fertilizers on the farm, using data collected, monitored, and analyzed from different sources like weather forecasts, soil sensors, and satellite imaging.
Machine learning techniques can be used to predict the time of a pest and disease outbreak in crops so that intervention can be put in place to avert crop loss.
Machine learning techniques can be used to predict the time of a pest and disease outbreak in crops so that intervention can be put in place to avert crop loss.
