This paper presents work on developing a software system for predicting crop yield from climate and plantation data. At the core of this system is a method for unsupervised partitioning of data for finding spatio-temporal patterns in climate data using kernel methods which offer strength to deal with complex data. For this purpose, a robust weighted kernel k-means algorithm incorporating spatia...

The spatial variation of crop yield was mainly caused by the complicated factors, such as soil and land factors. Based on sound theoretical reasoning, the paper performed an exploratory investigation of the relationship between the spatial distribution of yield measurement about 849 samplings on Thiessen polygon. Reasonable sample size or sampling density is an assurance of yield estimation sur...

better understanding and recognizing the amount of cultural development in iranian provinces and comparing them, causes a particular attention and helps to recognize their weaknesses, strengths, potentialities and deficiencies. the purpose of this paper is to analyze cultural development indicators in iran. the writers of this article present an applied research and use a comparative method. us...

abstract     in order to study the relationships among seed yield and its components in nigella sativa, path coefficient and factor analysis was done using some agro- morphological traits of 21 different genotypes. genotypes were evaluated using a completely randomized design with four replications in ardestan university research farms. there was a high and positive correlation between seed yie...

seeds of 200 accessions of alfalfa (medicago sativa l.) were provided from iraniannatural resource gene bank and were sown as drilled plot using alpha designs/unreplicatedwith 2 repeated entries within all of 10 blocks under dry land farming system in agriculturalresearch center of hamadan, iran during 2009 to 2010. the data were collected and analyzedfor plant height, stem number, leaf stem ra...

Recent work suggests that Cournot oligopolists competing in a spatial model, with a uniform distribution of consumers, agglomerate in the center of the market. In this paper we analyze the robustness of this result with a general symmetric distribution of consumers and show that if the population density is "too thin" at the center of the market, then Cournot competition does not yield spatial ...

Intelligent systems based on machine learning techniques, such as classification, clustering, are gaining wide spread popularity in real world applications. This paper presents work on developing a software system for predicting crop yield, for example oil-palm yield, from climate and plantation data. At the core of our system is a method for unsupervised partitioning of data for finding spatio...