In agriculture sector where farmers and agribusinesses have to make innumerable
decisions every day and intricate complexities involves the various factors influencing them …

Nowadays, the traditional database paradigm does not have enough storage for the data
produced by Internet of Things (IoT) devices leads to the need of cloud storage. These data's …

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 …

Agriculture is defined as the science and art of cultivating the flora and fauna. Farming in
India is ranked as second around the globe and occupies 60.45% of Indian land. The Indian …

It is of critical importance to understand the relationships between crop yield, soil properties
and topographic characteristics for agricultural management. This study's objective was to …

India is generally an agricultural country. Agriculture is the single most important contributor
to the Indian economy. Agriculture crop production depends on the season, biological, and …

This paper presents the various crop yield prediction methods using data mining techniques.
Agricultural system is very complex since it deals with large data situation which comes from …

Since the traditional data paradigm cannot handle the volume of information generated by
IoT (Internet-of-things) gadgets, cloud storage is now required. These data have been …

Farmers countenance failure as the crop cultivation decisions by farmers always depend on
current market price as the production sustainability processes are not taken into …

Commonly, the implementation of agricultural practices (eg, ploughing, sowing, watering,
pests control, and harvesting.) purely depends on climate change, recommendations from …