Local productivity prediction and management system

A local productivity prediction and management system for a farm including a weather monitoring device adapted to be positioned within the borders of the farm and a productivity prediction device, the weather monitoring device including the following sensors adapted to take weather measurements of only local weather conditions on the farm:

• a temperature sensor;
• a rainfall sensor;
• and
• a sunlight and/or ultraviolet light sensor,
• wherein, the productivity prediction device uses a productivity prediction model in the form of software that is adapted to:
• (a) using artificial intelligence, over time collect local actual livestock production values to establish a correlating pattern between the weather measurements and the actual livestock production values over time, the correlating pattern being in the form of a polynomial approximation that approaches a point of diminishing returns, wherein the correlating pattern includes a parameter of an average grass growth index (GGI), which is a function of rainfall, temperature and intensity of sunlight, according to the following polynomial:
• GGI=(weighting*Rainfall)+(weighting*Minimum temperature)+(weighting*Maximum temperature)+(weighting*Intensity of sunlight);
• (b) apply the correlating pattern to provide a set of predicted livestock production values, whereby as a general trend of change in actual livestock production values, the set of predicted livestock production values correspondingly change and the productivity prediction model is adjusted over time to increase the accuracy of the set of predicted livestock production values;
• (c) use a vat monitoring device to monitor the amount of livestock dairy produce in at least one vat on the farm;
• (d) manage a logistical function of livestock product collection and transport with regard to capacity and timing in response to the set of predicted livestock production values to determine an optimal transport route for livestock produce collection to calculate a vehicle route for the collection of the livestock produce;
• and
• (e) over time the system provides an indication of expected productivity where the standard deviation between actual and predicted livestock production values is less than 5%, in advance of production for a particular day or other period.