The paper reviews various classification techniques exclusively used for plant disease
identification. Early stage plant disease identification is extremely important as that can …

This paper provides a review of research on the application of data mining techniques for
decision making in agriculture. The paper reports the application of a number of data mining …

The widespread prevalence of leaf blast disease poses a significant threat to rice (Oryza
sativa L.) ecosystems globally, and inflicts substantial grain yield losses. The pervasive …

The climate change has caused threats to agricultural production; the extremes of
temperature and humidity, and other abiotic stresses are contributing factors to the etiology …

Data mining is the process of identifying the hidden patterns from large and complex data. It
may provide crucial role in decision making for complex agricultural problems. Data …

Plant disease has long been one of the major threats to world food security due to reduction
in the crop yield and quality. Accurate and precise diagnosis of plant diseases has been a …

In this paper an attempt has been made to review the research studies on application of data
mining techniques in the field of agriculture. Some of the techniques, such asID3 algorithms …

Pest and disease determination are among significant issues emerging in agriculture since
they influence the generation of agribusiness. Persistent change of the daily costs of Agri …

In the era of internet and technology agriculture field of study requires attention in order to
equip the farmers to maximize their output. In our country agriculture is the strength of the …

The process of develo** knowledge from the use of large data sets as an input and
extracting useful information as an output is referred to as data mining. This acquired …