Objective: This paper has been prepared as an effort to reassess the research studies on the
relevance of machine learning techniques in the domain of agricultural crop production …

Now-a-days, expert system is widely used in agriculture exclusively for diagnosing and
managing pests. These pest problems are mainly dependent upon human experts for their …

This paper describes a method of predicting wheat yields based on machine learning, which
accurately determines the value of wheat yield losses in France. Obtaining reliable value …

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 …

Agriculture, the backbone of every country, has been an emerging field of research,
particularly in the recent past. The soil type and environment are critical factors that drive …

Agriculture is the primary source driving the economic growth of every country worldwide.
Crop prediction, which is critical to agriculture, depends on the soil and environment …

As we all know that population is increasing day by day; simultaneously we need increase in
agro production so that India should be self reliance in the field of production of all types of …

Agricultural production mainly depends on weather conditions. Both aspects are interiorly
connected with each other in several aspects, as climate change is the key factor of plant …

Abstract An Expert System is a system that employs human knowledge captured in a
computer to solve problems that ordinarily require human expertise. In agriculture, expert …

Background: We aimed to compare the efficacy of fixed doses of bupropion and ropinirole
and iron alone for the treatment of restless legs syndrome (RLS) and to look for the …