Prediction of agriculture yield is a job that requires unification knowledge from several areas such as data mining, statistics and agriculture. Subject crop prediction has been very popular among various organizations working in agriculture, producers etc. P rediction helps managing the storage crops well it directs transportation decisions, risk management issues related to crops. Pattern rainfall temperature aredynamic due global warming, resulting undergoing impingement on productivity....

A study is being conducted to develop a prediction model for wheat yield in Patiala district of Punjab, India. The be developed based on different meteorological and agronomic factors that affect the plant hence yield. This paper presents comprehensive morphology context developing predictive district, research investigates form structure plant, focusing various growth stages their corresponding morphological characteristics. Following prescribed agricultural practices, detailed examination...

In the era of big data, where an astonishing volume information, measured in billions bytes, is generated daily, role data mining tools becomes paramount extracting valuable insights. This study provides in-depth exploration SPSS Statistics, a powerful tool that assumes central manipulation, analysis, and presentation. The paper illuminates SPSS's fundamental interface, focusing on its core components: Data Editor Viewer. Within Editor, we delve into dual perspectives-the View Variable...

Crop yield is affected by climatic, management, geographical, biological and other such factors. Data mining techniques can be used to analyse the effect of these factors on crop predict based The current paper focuses sequence steps followed in data process for prediction - starting from determination research goals application build a model. study applies defined model paddy different climatic also provides an insight metrics that evaluate various supervised techniques. have been divided...

With the continuous advancements in Information and Communication Technology, healthcare data is stored electronic forms accessed remotely according to requirements. However, there a negative impact like unauthorized access, misuse, stealing of data, which violates privacy concern patients. Sensitive information, if not protected, can become basis for linkage attacks. Paper proposes an improved Privacy-Preserving Data Classification System Chronic Kidney Disease dataset. Focus work predict...

Background: Crop yield is affected by several agronomic factors such as soil type and date of sowing, meteorological temperature rainfall. While the are responsible for inter-region variations in yield, year-wise variation a particular region may be attributed to factors. Various Data Mining Techniques can applied analyse effect these on crop yield. Objective: To develop model prediction Block-wise average wheat Patiala district Punjab, India. Method: Sampling used collection data, data...

Crop yield is affected by climatic, management, geographical, biological and other such factors. Data mining techniques can be used to analyse the effect of these factors on crop predict based The current paper focuses sequence steps followed in data process for prediction - starting from determination research goals application build a model. study applies defined model paddy different climatic also provides an insight metrics that evaluate various supervised techniques. have been divided...

In recent years, various energy crisis and environmental considerations have prompted the use of renewable resources. Renewable resources like solar, wind, hydro, biomass, etc. been a continuous source clean energy. Wind is one that has widely used all over world. The wind power mainly dependent on speed which random variable its unpredictable behavior creates challenges for farm operators dispatching system scheduling. Hence, predicting becomes crucial. This led to development forecasting...