No abstract

Ruminant, especially cattle and goats constitute the major portion of the livestock which are usually suffered from a wide range of diseases. Hence, this study was designed to determine clinical cases of cattle and goat in relation to different parameter. A total of 106 sick ruminants (cattle = 56, goat = 50) in different area of Bera upzilla, Pabna were investigated during March to September, 2016. The parasitic infestation (32.1%) in cattle and viral diseases (36%) in goat were higher. In relation to sex, the disease frequencies were higher in female goat of 56.0% and reproductive diseases in female cattle of 66.7%. Among the clinical case, 70% was in black bangle goat. On the other side, the vaccination and grazing system had strong significant (p<0.01) association with disease frequencies having the chi-square value of 36.036 and 35.617, p<0.01, with Phi (φ) coefficient of 0.583 and -0.580 respectively. Besides this, the male owner of clinically sick animal was higher of 71.40% for cattle and 52% for goat with chi-square value, (N=106) = 4.244, p<0.05, φ coefficient of 0.20 indicating a significantly moderate association. However, these two ruminants (cattle and goat) are mostly vulnerable to parasitic infestation and viral diseases.

No abstract

This work is primarily about the improvement of current agricultural practices by using modern technologies for betterment of agriculture and modernization the traditional agriculture system. Internet of Things(IoT) plays a crowning role in smart agriculture. The project will help root level farmers to get into smart irrigation in term of agriculture. Which provide greater service in less cost in irrigation and lowest man power. Smart irrigation is an empirical concept because IoT sensors capable of providing information about their agriculture fields and making irrigation automated by Internet of Things. The feature of this paper includes monitoring temperature, humidity, pH and water level in agricultural field through sensors. The data from sensors are sent to Web server database using wireless transmission. Controlling of all these operations will be through any remote smart device or computer connected to internet and rain condition is also applied to the operations. It will be performed by interfacing sensors, IFTT app, Smart agriculture app, Wi-Fi and raspberry pi.