IoT-based real-time poultry monitoring and health status identification

A Review on Computer Vision Technology for Monitoring Poultry Farm—Application, Hardware, and Software

“…Computer vision has been widely used in various processes of different poultry production systems. It includes automation of the house management, behavior, and welfare [11,[29][30][31][32][33][34][35][36][37][38][39][40], disease detection [28,[41][42][43][44][45][46][47], weight measurement [27,[48][49], slaughtering process [50][51], carcass quality [52][53][54][55], and egg examination [56][57][58][59][60][61][62][63][64][65]. On the other hand, computer vision also popular on other livestock monitoring, such as pig [73][74][75][76][77][78][79][80], sheep or cattle …”

“…There are still a number of researchers who entered the data manually in data acquisitionscreening in selecting the best images. eYeNamic (Fancom BV) [35,43,[105][106] is a system that automatically monitor behavior for broilers. All the images will be translated into an index of animal migration and activity inside the poultry house.…”

Towards an IoT-Based Architecture for Monitoring andAutomated Decision-Making in an Aviary Environment

“…The search started on May 24, 2021 with the strings application on Google Scholar digital base. As a result, five studies [Mumbelli et al 2020], [Lashari et al 2018], [Raj and Jayanthi 2018], [Debauche et al 2020] and [Manshor et al 2019] were retrieved. Another similar paper found was [Feijó et al 2021], which describes a decision support system for agribusiness.…”

“…The study [Mumbelli et al 2020] reports the elaboration of a low-cost prototype of a Poultry House Monitoring System. [Raj and Jayanthi 2018] provides some interesting results regarding the monitoring activity of poultry diseases. The study [Debauche et al 2020] proposes an IoT-Based aviary monitoring system; however, the focus is on an artificial intelligence algorithm to predict environment parameters, not monitoring and operationalizing actions on the environment, as we propose.…”

“…The software solutions are not the main concern of them, as they are focused on how the system works as a hardware, or algorithms. Of course, some studies described some software architecture, such as [Raj and Jayanthi 2018] and [Lashari et al 2018], but with few details, just describing system data flows. The contribution of our proposal is an architecture that can serve as a reference for a monitoring system with automated decision-making support, since the results obtained show an architecture that is concerned with the quality that this type of system must have.…”