Artificial Intelligence (AI) For Crop Yield Forecasting

Computer systems that use algorithms to analyse their environment and take actions – with some degree of autonomy – to achieve specific goals. AI can be purely software-based, acting in the virtual world (e.g. voice assistants, image analysis software, search engines, speech and facial recognition systems), or it can be embedded in hardware devices (e.g. advanced robots, autonomous cars, drones or Internet of Things [IoT] applications).

The amount of plant crop (such as cereal, grain or legume) harvested per unit area for a given time.