In response to the high breakage rate of pigeon eggs and significant labor costs associated with egg-producing farming, this study proposes an improved YOLOv8-PG (real versus fake egg detection) model based on YOLOv8n. Specifically, Bottleneck in C2f module YOLOv8n backbone network neck are replaced Fasternet-EMA Block Fasternet Block, respectively. The is designed PConv (Partial Convolution) reduce parameter count computational load efficiently. Furthermore, incorporation EMA (Efficient...

Pig farming is a crucial sector in global animal husbandry. The weight and body dimension data of pigs reflect their growth development status, serving as vital metrics for assessing progress. Presently, pig dimensions are predominantly measured manually, which poses challenges such difficulties herding, stress responses pigs, the control zoonotic diseases. To address these issues, this study proposes non-contact estimation measurement model based on point cloud from backs. A depth camera...

Digestive diseases are one of the common broiler that significantly affect production and animal welfare in breeding. Droppings examination observation most precise techniques to detect occurrence digestive disease infections birds. This study proposes an automated detector based on a deep Convolutional Neural Network model classify fine-grained abnormal droppings images as normal (shape, color, water content, shape&water). were collected from 10,000 25-35-day-old Ross birds reared...

The resting postures of piglets are crucial indicators for assessing their health status and environmental comfort. This study proposes a posture recognition method during lactation based on the PPR-YOLO model, aiming to enhance detection accuracy classification capability different piglet postures. Firstly, address issue numerous sows in farrowing house that easily occlude each other, an image edge algorithm is employed precisely locate sow’s bed area. By cropping images, irrelevant...

As large-scale and intensive fattening pig farming has become mainstream, the increase in farm size led to more severe issues related hierarchy within groups. Due genetic differences among individual pigs, those that grow faster enjoy a higher social rank. Larger pigs with greater aggression continuously acquire resources, further restricting survival space of weaker pigs. Therefore, must be grouped rationally, management enhanced. This study, considering current needs actual production...

(1) Background: This study aimed to investigate the changes in core temperature of Cyan-shank partridge chickens with continuously increased ambient at different relative humidity (RH) levels. (2) Methods: Thirty birds were selected age 35 days and randomly divided housed three artificial climate chambers. Each chamber was set one RH levels (50%, 65%, 80%), by 1.0 °C per 0.5 h from 24.0 34.0 °C. The tested intervals, chambers recorded using mini data loggers. Data collected for ages 35, 42,...

Broilers produce abnormal sounds such as cough and snore when they suffer from respiratory diseases. The aim of this research work was to develop a method for broiler sound detection. were recorded in house one week (24/7). There 20 thousand white feather broilers reared on the floor building. Results showed that developed recognition algorithm, using wavelet transform Mel frequency cepstrum coefficients (WMFCCs), correlation distance Fisher criterion (CDF), hidden Markov model (HMM),...

Abstract Navigation and autonomous operation in farmland or greenhouse environments present significant challenges for agricultural mobile robots on account of unstructured scene conditions complex task requirements. The immersive interfaces based human–robot interaction have been extensively developed, which bridge the high‐level decision human beings precise sensing high motion ability robots. In this study, we propose a framework three‐dimensional mapping virtual reality (VR)...

Sow farrowing is an important part of pig breeding. The accurate and effective early warning sow behaviors in helps breeders determine whether it necessary to intervene with the process a timely manner thus essential for increasing survival rate piglets profits farms. For large farms, human resources costs are considerations supervision. existing method, which uses cloud computing-based deep learning supervise farrowing, has high equipment cost requires uploading all data center, requiring...

The light environment regulates animal physiology and behaviour. As widely used supplementary heat sources in creep areas, the effect of visible radiated by infrared lamps on pigs is worth investigating. To investigate effects from behaviour sows piglets possible endocrine mechanisms, 24 primiparous were randomly assigned to three source treatments: (1) 250 W non-luminous ceramic (CE, n = 8), (2) 175 red (RL, (3) transparent (TL, 8). All turned off Day 15 postpartum. Piglets weighed days 3...

<b><sc>Abstract.</sc></b> Heat stress affects animal health, welfare, and productivity. Animal sound analysis has shown useful as an early warning tool of heat in some species, but it not yet been studied turkeys. The objectives this study were to develop method for turkey determine whether can induce specific vocalizations. Forty-eight turkeys bred 8 isolated rooms under laboratory conditions weeks randomly allotted (HS) control (CON) rooms. Turkeys the HS exposed high room temperature...

Pig body condition scoring is an important tool for pig farmers to ensure the health and nutritional status of pigs. An efficient accurate method very This thesis proposes automatic objective based on deep learning EfficientNet-B0. Traditional methods visual examination manual palpation are subjective, time-consuming, can vary from observer observer, leading inconsistent unreliable results. Deep model artificial neural network shows great potential in automating state scoring. The proposed...

Respiratory rate is an indicator of a broilers’ stress and health status, thus, it essential to detect respiratory contactless stress-freely. This study proposed estimation method broiler by deep learning machine vision. Experiments were performed at New Hope (Shandong Province, P. R. China) Wen’s group (Guangdong China), total 300 min video data collected. By separating frames, set 3,000 images was made, two semantic segmentation models trained. The single-channel Euler magnification...