A receiver device and an eye pattern-based control parameter adjustment method are provided. The receiver device includes a receiving circuit and a control circuit. The control circuit performs an iterative operation to determine an optimized control parameter, and updates current control parameters of the receiving circuit to the optimized control parameter after completing the iterative operation. The receiving circuit processes an input signal according to the current control parameters to generate recovered data. The iterative operation includes: updating the current control parameters of the receiving circuit to candidate control parameters; checking a size relationship between an optimized eye mask and a current eye pattern; and increasing the optimized eye mask according to the current eye pattern when the optimized eye mask does not conflict with the current eye pattern, and updating the optimized control parameters to the candidate control parameters corresponding to the new eye mask.

A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.