Mobile Platform for Livestock Monitoring and Inspection

Abstract

Livestock keepers acquire and manage information (e.g. identification numbers, images, etc.) about livestock to identify and keep track of livestock using systems with capabilities to extract such information. Examples of such systems are Radio Frequency Identification (RFID) systems which are used to collect and transmit livestock's information to host devices. Sophisticated RFID readers are very expensive, and more functional than the cheap ones whose use are mostly limited to reading and transmission of tag IDs. Cross-platform mobile applications will allow monitoring of livestock irrespective of the platform on which mobile devices are being operated. Farmers' secured access to records via web services is not limited to a device as they can login on any mobile device with the installed application. In this work, a mobile platform which consists of a cross-platform mobile application, webservice and database is developed to cost-effectively manage and exploit records of livestock acquired using a cheap RFID reader. The mobile application was developed using a Xamarin form framework. The programming language and development environment used are C# and Visual studio respectively. Records of livestock were acquired, posted, updated, deleted and retrieved from the database via a web service. Additional advantages offer by the solution implemented include, exporting of animals' records via email and SMS, viewing of animal's record by scanning their tags or QR code of animals' passports, and login system to sign users in and out of the application. Development of RFID readers with sensors to acquire healthrelated parameters for health monitoring is recommended.

RFID Technology for Animal Tracking: A Survey

“…Insect Bee [67], [83], [105] Insect [50] Weevil [77] Bird Bird [32] Broiler chicken [53] Chicken [47], [73] Goose [69] Hen [68] Hummingbird [19] Laying hen [33], [71] Pigeon [49] Poultry [52] Wild bird [30], [99] Mammal Bison [107] Buffalo [95] Cattle [89], [36], [51], [94], [38], [3], [57], [43], [74], [91], [35], [76], [52], [90], [8], [18], [80], [7], [88], [42], [87], [85], [62], [58] Domestic animal [18], [61], [82] Elephant [63] Goat [57], …”

“…Animal Behavior Monitoring [94], [67], [41], [101], [19], [53], [42], [33], [96], [92], [63], [7], [84], [32], [93], [64], [102], [86], [44], [105], [104], [6], [80], [75], [30], [82], [108], [109], [31], [34] Livestock Management [51], [57], [89], [90], [103], [69], [52], [95], [91], [73], [35], [38], [21], [48], [37], [61], [107], [39], [8], [106], [76], …”

Technological Acceptance of Cattle Farmers in Mobile Applications for Livestock Digital Marketing

“…Nevertheless, there is a dearth of research examining the differences between farmers who are eager to adopt and those who are unwilling to adopt in terms of mobile apps livestock digital marketing in Indonesia. Most of the studies (Abdelsayed, 2017;Michels et al, 2019;Fabiyi et al, 2022), conducted related to mobile apps for livestock production and health management. Despite the numerous studies and implementations of the TAM model, our research brings a new perspective by applying the model to a specific community (the farmers) with distinct economic and social characteristics (such as low skill levels, limited education, and a perception that innovation is not directly relevant to their work).…”