SUNDRASWAMY, BZUBER MOHAMMED, SEBSIBIE2019-02-192019-02-1937996TH-6895http://krishikosh.egranth.ac.in/handle/1/5810095673The investigation was conducted during 2001/2002 to study the Information Management System of Department of Agriculture for Farm Production in Karnataka State. Dharwad district was purposively selected for the study. During the time of investigation, the Department of Agriculture was positioned with 30 Assistant Agricultural Officers (AAOs) and 68 Agricultural Assistants (AAs). All those 98 extension personnel were selected as respondents of the study. The data were collected by mailed questionnaires developed for the study. Analysis of the collected data was done using different statistical tools. The important findings of the study were; on overall Information indices comparison, AAOs had better knowledge than AAs in information management system. The ranking of items belonged to different stages of information management system by AAOs and AAs were remained statistically same except in a few stages. Factors like education level, scientific orientation and leadership ability were positively and significantly related with information management system of AAOs. Similarly contact span, scientific orientation and leadership ability were positively and significantly related with information management system of AAs. Information on some of crop production techniques, weather forecasting, market and farm input were perceived as inadequate by AAOs and AAs for decision making. The study also revealed the main constraints faced by AAOs and AAs in information management system. The findings of information indices indicated that there is a need to increase the information management system of AAOs and AAs. The positive and significant f relationship of the socio-psychological factors with information management system of AAOs and AAs pinpoints to the need for continuous and well planned efforts to strengthen and develop these characteristics among AAOs and AAs. Relevant, accurate and timely farm information for effective decision making is highly required by both AAOs and AAs. This can be achieved through developing better farm information flow strategiesenThesis