Psychological Attributes of Truants and Non-Truants High School Students of Jammu Region.

The present study is an attempt to find out the relationship of certain socio-psychological variables with the truant behaviour. The sample for conducting the present study included 100 students in class 9th, which include 50 truants and 50 non-truants. Two tools were selected by the researcher namely Dr. S. Jalota and Sharma for  general mental ability( 1972)  and  school satisfaction by Dr. Meenakshi Sharma (1991). T- Test was used to find out relationship. The results reveals that habitual truants and regulars do not differ significantly on the variable of school satisfaction possess lower non-verbal intelligence. The higher level of processors towards truancy among boys may be explained considering the fact that boys have lesser social inhibitions, more parental freedom and less home responsibilities. Key words : Truancy, school phobia, delinquency school satisfaction, intelligences.School Satisfaction

A Study of Students Perception of Class Room Behavior of Mathematics Teachers.

The present study was carried out to examine the teachers personality dimension of classroom behaviour of mathematics teachers as perceived by the students.. A sample of 171 students studying in VIII, IX and X class in three sec-school of Jammu city has been selected for conducting the present study. Out of which there are 105 boys and 66 girls were selected randomly for the study. Lamsal scale was used to measure classroom behaviour of the mathematics teachers The results reveals that boys and girls are alike with regard to the perception towards teaching behaviour dimensions of classroom behavior of mathematics teachers. Boys and girls do not seem to differ significantly with regard to their perception towards teachers personality dimension of classroom behaviour of the mathematics teachers. Keywords: Behaviours, Perception, Attitude & Mathematic teache

A Study of Crop Yield Prediction Using Machine Learning Approaches

Agriculture plays a pivotal role in our society by providing food, fiber, and raw materials for various industries. The world's population is steadily growing, and there is increasing pressure on agriculture to meet the rising global food demand. In this context, the use of machine learning approaches to predict crop yields has gained significant importance. This paper aim is to study the significance of crop yield prediction through machine learning, its methods, applications, and its potential to revolutionize the agricultural sector

A Study of Crop Yield Prediction Using Machine Learning Approaches

Agriculture plays a pivotal role in our society by providing food, fiber, and raw materials for various industries. The world's population is steadily growing, and there is increasing pressure on agriculture to meet the rising global food demand. In this context, the use of machine learning approaches to predict crop yields has gained significant importance. This paper aim is to study the significance of crop yield prediction through machine learning, its methods, applications, and its potential to revolutionize the agricultural sector