The expert package provides tools to create and manipulate empirical statistical models using expert opinion (or judgment). Here, the latter expression refers to a specific body of techniques to elicit the distribution of a random variable when data is scarce or unavailable. Opinions on the quantiles of the distribution are sought from experts in the field and aggregated into a final estimate. ...

The integration of an ES into a business environment presents a different set of problems to the designer. First, it can be difficult to isolate and draw boundaries around the domain of the business problem. Second, there is often a need to generate a large number of expert decisions in a short period of time. That is, there can be many transactions requiring some expertise to process, such as ...

This paper describes the learning part of a system which has been developed to provide expert systems capability augmented with learning. The learning scheme is a hybrid connectionist, symbolic one. A network representation is used. Learning may be done incrementally and requires only one pass through the data set to be learned. Attribute, value pairs are supported as a variable implementation....

This paper presents an expert system for Paddy production management. This expert system gives advice to Paddy growers in Egypt to improve Paddy productivity. The system contains two main parts namely: strategic part and tactic part. The strategic part gives a strategic advice (i.e. list of agricultural operations) before cultivating Paddy crop. The strategic part contains four sub-systems name...

Role of expert systems in agriculture and its applications in efficient crop production and protection technologies has been reviewed and discussed in this paper. Different domains of agriculture are highlighted where expert systems can play an important role for an expert in transferring expert-driven knowledge instantly at the level of farmer‟s field. This paper explores structure of an exper...