Multi‐sensor data fusion for swine house environment evaluation and control

Abstract

Data fusion from various sensors can obtain more accurate and reliable results than a single monitoring sensor. The data of air quality in the swine breeding environment comes from various sensors; therefore, the data must be fused. In this study, statistical criteria, batch estimation theory, a fuzzy comprehensive evaluation (FCE) method, as well as an improved analytic hierarchy process (IAHP), were combined to provide accurate data for multi‐sensor data fusion modeling. To make a fair comparison, four statistical criteria were employed to process abnormal data gross errors. Besides, an improved batch estimation adaptive weighted fusion method was adopted to, respectively, integrate the data from temperature, humidity, and concentrations of ammonia (NH3), carbon dioxide (CO2), and hydrogen sulfide (H2S) of air quality at the data level. The predetermined weights were given using IAHP combined with the knowledge of experts. To decide the fuzzy membership values of each environmental parameter, we presented a method to establish fuzzy membership functions and devised a calculation method for related parameters. The gaussmf type membership function was employed to build a global fusion model that fits well with IAHP–FCE. The IAHP–FCE method was exploited to comprehensively integrate multi‐sensor data at the decision level. Experimental results show that the presented method can improve the data accuracy and provide decision results and scientific basis for the precision control of swine breeding environment.

Introduction: Sustainability as an agroecological strategy toward resilience in agricultural systems

“…IAHP and a FCE method were used to provide accurate data for the control of swine ( Sus scrofa domesticus ) breeding environment (Chen & Shen, 2023). The study involved a remote monitoring system based on the Internet of Things (IoT) to measure several environmental traits in a swine house.…”

“…The experimental design used a complex algorithm and integrated the data from concentrations of ammonia (NH 3 ), carbon dioxide (CO 2 ), and hydrogen sulfide (H 2 S) of air quality, temperature, and humidity of air in swine house environment. Experimental findings show that the IAHP and FCE methods can enhance the data accuracy and provide decision results and scientific basis for the precision control of swine breeding environment (Chen & Shen, 2023).…”

“…Useful approaches should involve multiple practices, adapt to different sites, and respond to farmers and community requirements. The research articles published in the special section “Agricultural and biological sciences: Plant, soil, animal and environment” address actual topics for agriculture and biology, covering smart technologies, bioinformatics, sensors in agriculture, rhizosphere microbiomes, mycorrhizal fungus and nano potassium fertilizer, IAHP, FCE, soil management, water efficiency, plastic‐film mulching technology, crop breeding, direct seeding, fruit growing management, and multi‐sensor data (C. Chen et al., 2022; X. Chen et al., 2023; Chen & Shen, 2023; C. Guo, Yuan et al., 2023; Li et al., 2022; Liu et al., 2023; Mohammadpur et al., 2023; Qi et al., 2023; Shivashimpar et al., 2023; Yu et al., 2022; Zhang et al., 2023).…”

“…To contribute to this ambitious aim, several international researchers present their novel articles in this special section of Agronomy Journal. The published papers depict a series of current topics on smart technologies, bioinformatics, sensors in agriculture, rhizosphere microbiomes, mycorrhizal fungus and nano potassium fertilizer, improved analytic hierarchy process (IAHP), fuzzy comprehensive evaluation (FCE), soil management, water efficiency, plastic-film mulching technology, crop breeding, direct seeding, orchard management, and multi-sensor data for agriculture (C. Chen et al, 2022Chen & Shen, 2023;C. Guo, Yuan et al, 2023;Li et al, 2022;Liu et al, 2023;Mohammadpur et al, 2023;Qi et al, 2023;Shivashimpar et al, 2023;Yu et al, 2022;Zhang et al, 2023).…”