Teleagro: IOT Applications for the Georeferencing and Detection of Zeal in Cattle

Abstract

The loss of reproductive efficiency of animals and cattle rustling have become one of the main concerns of farmers. The decrease in reproductive efficiency is mainly due to the low percentage in heat detection. Reproductive efficiency is commonly measured by the interval between births, which affects the daily milk production of the cow during its productive life and the income associated with the sale of milk from its production, conditioning the profitability of the farmers. The zeal for its part consists of the theft of bovine cattle that usually is used for its commercialization, bringing considerable losses. According to figures from the Observatory of Human Rights and International Humanitarian Law of the Fundacion Colombia Ganadera, Fundagán, only during 2014 there were 164 cases of cattle rustling, resulting in the loss of 3,798 cattle throughout the country, which represents a loss for the producers of 15 billion of Colombian money. This project proposes the development of a technological platform that combines hardware, software and communications systems of the latest technology and with open standards to provide an economic and reliable solution to the Colombian and Latin American livestock industry. In Colombia, there is a history of products and prototypes that have been developed to alleviate this problem, no platforms of similar benefits have been found that are accessible to farmers in the country. In this article, the different stages developed to obtain a validated prototype with the beneficiary entity and their respective results are socialized.

Human Activity Recognition Data Analysis: History, Evolutions, and New Trends

“…Long [156] in turn uses the Opportunity and Uni-MiB-SAHR Dataset with the algorithms HC, CBH, CBS, AE, MLP, CNN, LSTM, Hybrid, ResNet, and ARN were the results of RNA of 90.29% and 76.39%. Bozkurt [157], for his part, only analyzes the UCI-HAR Dataset, KNN, SVM, HMM + SVM, SVM + KNN, Naive Bayes, Logistic Regression, Decision Tree, Random Forest, MLP, DNN, LSTM, CNN + LSTM, CNN + BiLSTM, Inception + ResNet, the result of the DNN algorithm is shown with an accuracy of 96.81%.…”

Projections of IoT Applications in Colombia Using 5G Wireless Networks

“…It will also be possible to help farmers in making decisions regarding livestock, thanks to AI techniques and machine learning (ML), among others [131]. Currently, there are no reports of a large number of IoT projects oriented to cattle farming in Colombia, although work has been done on the control of livestock mobility [132] or on the detection of animals in heat [133]. This utility of IoT will be enhanced with the improved capacity (bps) of 5G, thanks to increased bandwidth and spatial multiplexing, reducing network congestion and overload [127].…”