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Accurate information about the amount of standing biomass is important in pasture management for monitoring forage growth patterns, minimizing the risk of overgrazing, and ensuring the necessary feed requirements of livestock. The morphological features of plants, like crop height and density, have been proven to be prominent predictors of crop yield. The objective of this study was to evaluate the effectiveness of stereovision-based crop height and vegetation coverage measurements in predicting the aboveground biomass yield of bermudagrass (Cynodon dactylon) in a pasture. Data were collected from 136 experimental plots within a 0.81 ha bermudagrass pasture using an RGB-depth camera mounted on a ground rover. The crop height was determined based on the disparity between images captured by two stereo cameras of the depth camera. The vegetation coverage was extracted from the RGB images using a machine learning algorithm by segmenting vegetative and non-vegetative pixels. After camera measurements, the plots were harvested and sub-sampled to measure the wet and dry biomass yields for each plot. The wet biomass yield prediction function based on crop height and vegetation coverage was generated using a linear regression analysis. The results indicated that the combination of crop height and vegetation coverage showed a promising correlation with aboveground wet biomass yield. However, the prediction function based only on the crop height showed less residuals at the extremes compared to the combined prediction function (crop height and vegetation coverage) and was thus declared the recommended approach (R2 = 0.91; SeY= 1824 kg-wet/ha). The crop height-based prediction function was used to estimate the dry biomass yield using the mean dry matter fraction.

The current report, an eco-friendly to environment benign to fabrication of Titanium Di-Oxide Nanomaterials (TDO-NMs) using Drypetes sepiaria Leaves aqueous extract, during the procedure, rather than using noxious and persistent chemicals throughout the experiment. Characterization of Titanium Di-Oxide Nanomaterials was revealed using UV–Vis spectroscopy, X-ray diffraction (XRD) and Fourier transform infrared spectroscopy (FTIR). The stability analysis of Titanium Di-Oxide Nanomaterials was determined through dynamic light scattering (DLS), which indicated that the Titanium Di-Oxide Nanomaterials were stability around -39.4 mV and with an average size of 16.78 nm. The synthesized Titanium Di-Oxide Nanomaterials were carried out for the degradation of industrial textile pollutants dyes, such as Methylene Blue. The synthesized Titanium Di-Oxide Nanomaterials acts as a remarkable catalytic activity for the removal of environment pollutants dye degradation and promising material for the dye degradation.

This article presents the findings of a study conducted on MBBS students at Kurnool Medical College during the COVID-19 pandemic. The study aimed to assess the impact of the pandemic on the students' quality of life and their experience with e-learning. The majority of students did not purchase electronic devices for e-learning, but most of them found themselves proficient in using electronic devices for e-learning. The usefulness of e-learning was perceived as neither useful nor useless by the majority of participants. The study acknowledges the difficulties and limitations of transitioning to virtual learning and highlights the need for resource availability, technological support, and skilled labor. The study also discusses the demographic characteristics of the participants and their perceptions of various aspects of e-learning. The limitations of the study include its short duration and limited sample size. The study concludes that the pandemic significantly disrupted medical education and emphasizes the importance of continuing e-learning during such crises. [Extracted from the article]

Background The use of telemedicine in contemporary healthcare has become essential, providing a novel method of delivering care, particularly in rural and underdeveloped areas. This study assesses the telemedicine awareness, knowledge, attitude, skills, and challenges among physicians working in tertiary care hospitals. Methods A cross-sectional study was carried out with 100 doctors from diverse specialties at a tertiary care institution. The questionnaire evaluated five domains: telemedicine awareness and knowledge, telemedicine attitude, telemedicine technology skills, telemedicine utilization patterns, and perceived barriers and educational needs. Results The study indicated that 95% of participants were aware of telemedicine. However, knowledge gaps remained, particularly in legal and ethical concerns (50%) and international rules (40%). Eighty percent of respondents had a favorable opinion of telemedicine, and 85% thought it might improve patient care in rural regions. The proficiency level of telemedicine users was variable: 60% of them had previous experience, and 70% of them rated their proficiency as intermediate or better. According to utilization patterns, 50% of telemedicine users used it at least once a week, primarily for remote monitoring (30%) and video consultations (60%). The study found that 90% of respondents had a high demand for training and educational opportunities. The absence of infrastructure (65%), worries about data security (55%), and patient acceptability (30%) were the main obstacles found. It also highlighted how important it is to have defined policies and collaborate across disciplines. Conclusion The study identifies a good attitude toward telemedicine among doctors as well as a need for improved training and infrastructure. It is essential to tackle these requirements and obstacles in order to successfully incorporate telemedicine into healthcare systems., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2024, Mabu Shareef et al.)