Climate change is contemporary global threat especially for coastal area of Bangladesh which drastically affects in agricultural sector. The purpose of the study was to determine the extent of adopting disaster risk reduction strategies by farmer towards agriculture sector in Southkhali union of Sharankhola upazila. Data were collected following a structured pretested interview schedule, FGD and KII and then verified with secondary sources of information. Coefficients of Correlation and regression analysis were used to find out the contribution of factors to the variation of adopting disaster risk reduction strategy by farmers in agriculture sector. The study found that the salinity was the major climate change effect in agriculture sector of this area that resulted soil salinity in agriculture and the most common adopted strategies are rain water harvesting (90%), tree plantation (89.16%) and homestead gardening (80.83%) in agriculture. Correlation analysis indicated that age (0.383**), farming experience (0.441**), communication exposure (0.271*) and organizational support (0.226*) had positive significant relationship and climate change effect (-0.266**) had negative significant relationship with adoption of disaster risk reduction strategy of farmers in agriculture. Regression analysis revealed that farming experience (β=0.546) has the strongest contribution and climate change effect (β=-0.139) had negative contribution to the adoption of disaster risk reduction strategies in agriculture. Based on this observation it can be concluded that the awareness and skill of farmer should be more developed through arranging different training program and providing necessary support to promote environmentally safe cultivation and to enhance climate change adaptation in agriculture sector.

Bangladesh is a low-lying deltaic plain country in which three-quarters of the population lives in rural areas, and they are the primary victim of climate invented worst situation (Siddiqui, 2009). As rural area’s people were deprived from the modern technology to mitigate the disaster, so that rural area’s people created y own initiated climate resilient technology to protect themselves. The purpose of this study was to identify indigenous disaster mitigation measures that the community had implemented in order to reduce the negative effects of disaster. The study area was Bakerganj upazila, Barisal which is also a rural based disaster-prone area. In this research, two types of data collection techniques were used, such as as primary and secondary data collection methods, afterwards the collected data were analyzed through Microsoft Excel. The major findings of this study were that, due to climate change the most drastic change was in temperature, which is responsible for occurring different kinds of disaster. Among those in the study area flood was the most prior disaster which may fallen impact on house and agriculture of study area. It was mainly influenced by poverty and lack of community awareness. So that the mostly used climate resilient technology of this area was raising of house platform above flood level (95.87%), plantation of disaster resilient tree around the house (76.29%), raising platform for cultivation (73.20%), using homemade fertilizer for enhance productivity (62.89%) and tying of house to minimize the possibility of destroying (61.86%). Among those raising house platform and cultivable land platform was more sustainable and resilient indigenous technology of this area. Beside more the study area’s people also got support from different GO and NGOs. And also, this area had strong social bonding with each other and local authorities, so that they got advantages from them and they consider this support as their capacity to fight against any kind of disaster. As indigenous technologies are very important for disaster risk reduction so that those should be linked up with local level adaptation plans for increasing the efficiency and resiliency of those locally invented technology, so that those will be easily accepted by the vulnerable community and implemented successfully against disaster.

Khulna district of Bangladesh. Study was conducted in the five selected upazilas of Khulna city viz., Rupsa, Dighalia, Phultala, Dumuria and Batiaghata which consist of 108 agricultural blocks. A sample of 100 Sub-Assistant Agriculture Officers (SAAOs) was selected from these blocks. Data were collected following a structured pretested interview schedule.Findings revealed that most 60% of the SAAOs had low communication exposures to e-agriculture. Correlation analysis indicates that age, income and service experience had negative significant relationship with communication exposures of SAAOs to e-Agriculture. T raining exposure and knowledge on e-agriculture had positive significant relationship with their communication exposures towards e-agriculture. The enter method of regression analysis revealed that knowledge on e-agriculture, training exposure and monthly income described 77.5 percent variation in the communication exposure of SAAOs. The estimates indicated that knowledge on e-Agriculture had strongest (β=0.479) contribution to the variance of communication exposure to e-Agriculture. On the other hand, monthly income had contributed to the variance of communication exposure of SAAOs towards e-Agriculture in negative direction (β=-0.156). Mobile phone was the highest preferred device in using e-Agricultural media by the SAAOs. "Unfamiliarity of extension workers with e-agriculture application" was the main personal constraint and "lack of training on e-agriculture" was the main organizational constraint which might have led to low communication exposure of SAAOs towards e-agriculture.

Bangladesh is in the front line of battlefield of disasters due to geographical location and global warming faced over 200 natural disasters in past 40 years and most of the disasters were cyclones. People need to be evacuated and rescued before a cyclone landfall. In current practice, multipurpose cyclone shelter (MPCS) provides short-term safety for the disaster victims in Bangladesh, where people are rescued after disasters which cannot ensure survival of lives. This study aims to develop a method for efficient evacuation and rescue to reduce death tolls in the events of disasters. This study used Wi-Fi scanner and smartphones to detect people. An inbuilt index that includes name, address, mobile number, photo, service set identifier (SSID), and media access control (MAC) of smartphone was developed for 90 registered participants. In this controlled experiment, few new participants turned on hotspot in every five minutes. A new index of people with MAC/SSID was developed in MPCS simulating an emergency. Missing people were detected by comparing inbuilt index and new index, and ordered them self-evacuation. This method captured 100% evacuees. Most importantly, the proposed method will reduce death tools because the people are rescued earlier to a disaster hits a specific area.