Strawberry growers in Florida suffer from a lack of efficient and accurate yield forecasts for strawberries, which would allow them to allocate optimal labor equipment, as well other resources harvesting, transportation, marketing. Accurate estimation the number strawberry flowers their distribution field is, therefore, imperative predicting coming yield. Usually, are estimated manually, is time-consuming, labor-intensive, subjective. In this paper, we develop an automatic flower detection...

This study evaluated the welfare and behaviors of Cobb 700 broilers as affected by growth rate (GR) stocking density (SD). Slower-growth (weight gain < 50 g day−1) medium-growth = to 60 were produced providing 57.1% 78.6% feed intake listed in production manual for standard (fed ad libitum) > day−1). Broilers at all 3 GRs reared 2 SDs 30 40 kg/m2. Broiler indicators, including gait score, tibia strength, feather coverage, footpad condition when birds reached 1, 2, kg body weight. The...

Investigating broilers drinking behavior can provide vital information for farmers regarding broilers’ well-being, insights into farm management, and poultry resources to prepare optimal conditions in farms. Therefore, the current study's objective was assess individual broilers' time using a three-step algorithm based on recognition. First, proposed detects U-Net architecture with ResNet50 as encoder block. Second, tracking Euclidean distance tracks detected broilers. Third, if recognizes...

A set of computer programs designed for research and educational objectives in the analysis low frequency electric magnetic field phenomena is described. These are developed around a standard easily extensible user interface, run on both PC-compatible X window platforms, offer wide range tools. They capable solving Poisson's equation arbitrarily shaped axisymmetric two-dimensional geometries.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Feeding behavior is one of the critical welfare indicators broilers. Hence, understanding feeding can provide important information regarding usage poultry resources and insights into farm management. Monitoring behaviors typically performed based on visual human observation. Despite successful applications this method, its implementation in large farms takes time effort. Thus, there a need for automated approaches to overcome these challenges. Consequently, study aimed evaluate individual...

Broiler gait score (GS) evaluation relies on manual assessments by experts, which can be laborious, hindering timely welfare management. Deep learning (DL) models, conversely, may serve as a cost-effective solution in evaluating GS via automated detection of broiler mobility. This study aimed to develop vision-based YOLOv8 model detect the locations individual broilers, allowing for continuous tracking birds within pen and determining bird walking distances, speeds, idleness movement ratios,...

Autonomous agricultural robots will be important for future smart farms. navigation as one of the robots’ abilities, could save labors driving vehicles and provide accurate consistent localizations to perform farm operations. The goal this study was develop a system that guide field robot travel from station citrus grove visit each tree autonomously with obstacle avoidance ability. developed consideration concept farms, in which internet things big data analysis would implemented.

Mobility is a vital welfare indicator that may influence broilers’ daily activities. Classical broiler mobility assessment methods are laborious and cannot provide timely insights into their conditions. Here, we proposed semi-supervised Deep Learning (DL) model, YOLOv5 (You Only Look Once version 5), combined with deep sort algorithm conjoined our newly algorithm, neo-deep sort, for individual tracking. Initially, 1650 labeled images from five days were employed to train the model. Through...

This research proposes a low-cost system consisting of hardware setup and deep learning-based model to estimate broiler chickens’ feed intake, utilizing audio signals captured by piezoelectric sensors. The were recorded 24/7 for 19 consecutive days. A subset the raw data was chosen, events labeled in two classes, feed-pecking non-pecking (including singing, anomaly, silence samples). Next, preprocessed through noise removal algorithm band-pass filter. Then, spectrogram signal envelope...

The decline of natural pollinators necessitates the development novel pollination technologies. In this work, we propose a drone-enabled autonomous system (APS) that consists five primary modules: environment sensing, flower perception, path planning, flight control, and mechanisms. These modules are highly dependent upon each other, with module relying on inputs from other modules. paper, focus approaches to control First, briefly introduce perception method our previous work create map...

Lameness in broilers may be associated with pain and is considered a major broiler production welfare concern. Manual gait score assessment commercial houses discrete, time-consuming, laborious. As such, automatic methods for are urgently needed. The objective of this study was to identify the relation several productions behavioral metrics (bird BW, age, activity, distribution), establish three prediction models estimations farms weighing systems, camera or both. Sixteen pens were used rear...

Monitoring the drinking behavior of animals can provide important information for livestock farming, including health and well-being animals. Measuring time is labor-demanding and, thus, it still a challenge in most production systems. Computer vision technology using low-cost camera system be useful overcoming this issue. The aim research was to develop computer monitoring beef cattle behavior. A data acquisition system, an RGB ultrasonic sensor, developed record actions. We algorithm...

Solid-state-based microwave ovens are promising to mitigate the non-uniformity issue for their precise controlled parameters. Multiphysics modeling is a useful tool understanding complicated heating processes. However, previous models using simple or manually measured oven geometry had challenges in accurately predicting patterns. This study developed 3-D scanning approach characterize accurate geometric details of cavity and incorporate it multiphysics solid-state heating. The effect on...