In China, low degree of automation seriously affects the working efficiency and quality in vegetable transplanting. As one most important vegetables China even world, tomato was taken as research object this study. An automatic single-row transplanting device designed, based on statistical analysis physical mechanical properties seedlings a typical variety. Based technology mechatronics, integrated functions transporting seedling tray, extraction planting. The kinematics orthogonality...

Precision dairy farming technology is widely used to improve the management efficiency and reduce cost in large-scale farms. Machine vision systems are non-contact technologies obtain individual behavioral information from animals. However, accuracy of image-based identification cows still inadequate, which limits application machine There three key problems cattle based on images biometrics: (1) biometrics different may be similar; (2) complex shooting environment leads instability image...

Behaviors are important indicators for assessing the health and well-being of dairy cows. The aim this study is to develop validate an ensemble classifier automatically measuring distinguishing several behavior patterns cows from accelerometer data location data. consists two parts, our new Multi-BP-AdaBoost algorithm a fusion method based on D-S evidence theory. We identify seven patterns: feeding, lying, standing, lying down, standing up, normal walking, active walking. Accuracy,...

As greenhouse gas emissions from dairy farms are on the rise, effective monitoring of these has emerged as a crucial tool for assessing their environmental impacts and promoting sustainable development. Most existing studies GHGs involve stationary detections with long response times high costs. In this study, detection system was constructed based NDIR technology using single broadband light source four-channel thermopile detector CH4, N2O, CO2; range CH4 0~100 ppm; that N2O 0~500 CO2...

The identification of individual cows is a prerequisite and foundation for realizing accurate intelligent farming, but this method based on image information easily affected by the environment observation angle. To identify more accurately efficiently, novel recognition using anchor point detection body pattern features from top-view depth images was proposed. First, RGBD were collected. hook pin bones coarsely located improved PointNet++ neural network. Second, curvature variations in bone...

An electric seeder for small-size vegetable seeds was designed based on the power drive and optical fiber detection technology. The is driven by during sowing process. At same time, using sensor technology to monitor condition, more efficient with high seeding precision in terms of different seed sizes. In order achieve 2-10 mm seeds, driving motor equipped rear crackle. reduces pollution dyeing. Also other components were modularly designed. buckle, which could be quickly disassembled...

Cows mounting behavior is a significant manifestation of estrus in cows. The timely detection cows can make conceive time, thereby improving milk production and economic benefits the pasture. Existing methods are difficult to achieve precise under occlusion severe scale change environments meet real-time requirements. Therefore, this study proposed Cow-YOLO model detect behavior. To needs performance, YOLOv5s used as baseline model. In order solve problem an occluded environment,...

The respiratory status of dairy cows can reflect their heat stress and health conditions. It is widely used in the precision farming cows. To realize intelligent monitoring cow status, a system based on infrared thermography was constructed. First, YOLO v8 model to detect track nose thermal images. Three instance segmentation models, Mask2Former, Mask R-CNN SOLOv2, were segment nostrils from area. Second, hash algorithm extract temperature each pixel nostril area obtain change curve....

Timely and accurate detection of oestrus in cows is an essential element the good management dairy farms. At present, by acoustic means impeded problems filtering, incomplete feature selection, poor recognition accuracy. To overcome these difficulties, this study proposes a sound method for based on machine learning technology using optimal combination time window. Firstly, dual-channel tag consisting unidirectional microphone omnidirectional (OM) was developed. The Least Mean Squares...

ABSTRACT: A cow behavior monitoring system based on the Internet of Things (IoT) has been designed and implemented using tri-axial accelerometer, MSP430 microcontroller, wireless radio frequency (RF) module, a laptop. The measured movement transmitted acceleration data to laptop through RF module. Results were displayed in 2D graph, which patterns cows predicted. from analyzed Multi-Back Propagation-Adaptive Boosting algorithm determine specific behavioral state cows. developed can be used...

Agaricus bisporus is widely cultivated worldwide due to its considerable economic benefits. The increasingly prominent contradiction between production and labor shortage necessitates the urgent replacement of human workers with intelligent picking technology equipment. Therefore, a pressure-stabilized flexible end-effector was designed achieve rapid low-loss bisporus. dimensions were determined by measuring external parameters A mechanics model constructed analyze process theoretically,...

Target detection is the fundamental work for perceiving behavior of cows using video analysis automatically. The videos captured in farming scenes often suffer from a complex background, which leads to difficulty detecting target and inconvenience subsequent images analysis. In this study, method was proposed detect moving accurately based on background subtraction. Firstly, bounding rectangle calculated frames difference extract local frames, were averaged spliced into one image as entire...

Body condition score (BCS) is an important management tool in the modern dairy industry, and one of basic techniques for animal welfare precision farming. The objective this study was to use a vision system evaluate fat cover on back cows automatically determine BCS. A 3D camera used capture depth images twice day as each cow passed beneath camera. Through background subtraction, area extracted from image. thurl, sacral ligament, hook bone, pin bone were located via image analysis evaluated...

In this study, an automatic machine for transplanting potted tomato seedlings was designed, based on the analysis of physical characteristics main varieties seedlings. The is composed a horizontal and vertical seedling supply mechanism, picking mechanism with gear-rod component, planting part featured eccentric-disk parallelogram duckbilled control system. system included position sensors, stepper motor, variable-frequency motor program controller. force condition successful studied by...