Numerical Modeling and Design of Machine Learning Based Paddy Leaf Disease Detection System for Agricultural Applications

In order to satisfy the insatiable need for ever more bountiful harvests on the global market, the majority of countries deploy cutting-edge technologies to increase agricultural output. Only the most cutting-edge technologies can ensure an appropriate pace of food production. Abiotic stress factors that can affect plants at any stage of development include insects, diseases, drought, nutrient deficiencies, and weeds. On the amount and quality of agricultural production, this has a minimal effect. Identification of plant diseases is therefore essential but challenging and complicated. Paddy leaves must thus be closely watched in order to assess their health and look for disease symptoms. The productivity and production of the post-harvest period are significantly impacted by these illnesses. To gauge the severity of plant disease in the past, only visual examination (bare eye observation) methods have been employed. The skill of the analyst doing this analysis is essential to the caliber of the outcomes. Due to the large growing area and need for ongoing human monitoring, visual crop inspection takes a long time. Therefore, a system is required to replace human inspection. In order to identify the kind and severity of plant disease, image processing techniques are used in agriculture. This dissertation goes into great length regarding the many ailments that may be detected in rice fields using image processing. Identification and classification of the four rice plant diseases bacterial blight, sheath rot, blast, and brown spot are important to enhance yield. The other communicable diseases, such as stem rot, leaf scald, red stripe, and false smut, are not discussed in this paper. Despite the increased accuracy they offer, the categorization and optimization strategies utilized in this work lead it to take longer than typical to finish. It was evident that employing SVM techniques enabled superior performance results, but at a cost of substantial effort. K-means clustering is used in this paper segmentation process, which makes figuring out the cluster size, or K-value, more challenging. This clustering method operates best when used with images that are comparable in size and brightness. However, when the images have complicated sizes and intensity values, clustering is not particularly effective

Estimation of Carbon Footprint of Residential Building in Warm Humid Climate of India through BIM

In recent years Asian Nations showed concern over the Life Cycle Assessment (LCA) of their civil infrastructure. This study presents a contextual investigation of a residential apartment complex in the territory of the southern part of India. The LCA is performed through Building Information Modelling (BIM) software embedded with Environmental Product Declarations (EPDs) of materials utilized in construction, transportation of materials and operational energy use throughout the building lifecycle. The results of the study illustrate that cement is the material that most contributes to carbon emissions among the other materials looked at in this study. The operational stage contributed the highest amount of carbon emissions. This study emphasizes variation in the LCA results based on the selection of a combination of definite software-database combinations and manual-database computations used. For this, three LCA databases were adopted (GaBi database and ecoinvent databases through One Click LCA software), and the ICE database was used for manual calculations. The ICE database showed realistic value comparing the GaBi and ecoinvent databases. The findings of this study are valuable for the policymakers and practitioners to accomplish optimization of Greenhouse Gas (GHG) emissions over the building life cycle

Takedown of cavopulmonary shunt at biventricular repair

With advances in valve repair and ventricular recruitment strategies, patients initially palliated with single ventricle physiology have been increasingly brought to biventricular circulation. Few data are available on the technical aspects and outcomes after takedown of the superior cavopulmonary anastomosis (bidirectional Glenn [BDG]). We reviewed a single-institutional experience in BDG takedown

Photo-oxidized bovine pericardium in congenital cardiac surgery: single-centre experience

Dye-mediated photo-oxidation of pericardium is an alternative method to chemical treatment with glutaraldehyde for cross-linking collagen, providing biostability of the patch material while avoiding late calcification and cytotoxicity. There are few data available, on using photo-oxidation-treated pericardium, in congenital cardiac surgery. This study reports the outcomes using Photofix™ bovine pericardium in neonates, infants, children and young adults undergoing paediatric cardiac surgery

An anticoagulation protocol for use after congenital cardiac surgery

Background: Patients undergoing surgery for congenital heart disease are at high risk for bleeding as well as thrombosis in the postoperative period. The objective of the study was to describe the design and effects of implementing a standardized unfractionated heparin anticoagulation protocol for children after congenital heart surgery. Methods: We created a tiered guideline for the postoperative management of bleeding and thrombosis. In patients treated with unfractionated heparin, anti-factor Xa activity level as well as activated partial thromboplastin time were used for dose titration. Clinical outcomes, including bleeding and thrombosis events, were prospectively collected for 5 months before and after protocol implementation and adjudicated as either minor, clinically relevant nonmajor, or major. Results: Among 792 surgical patients followed during the study period, a total of 203 patients (87 preimplementation, 116 postimplementation) were treated with therapeutic unfractionated heparin over a total of 1481 patient days. Of these, 28% were neonates and 35% were infants (29 days to 1 year), with a trend toward fewer neonates and lower Risk Adjustment for Congenital Heart Surgery (RACHS) scores after protocol implementation. Among 1321 time-matched pairs, activated partial thromboplastin time and antifactor Xa activity levels were poorly correlated (r = 0.33). Clinically relevant bleeding events, which required increased medical care, including blood transfusion, decreased after protocol implementation (4.14 vs 1.62 bleeding events per 100 patient-days; risk ratio, 0.39 [0.20-0.75]; P =.005), even after correcting for differences in age and RACHS scores (P =.006). This finding was primarily found after RACHS category 1 to 3 procedures (risk ratio, 0.27 [0.10-0.73]; P =.0099) and in noninfants (risk ratio, 0.25 [0.09-0.65]; P =.005). There were no significant differences in the incidences of major bleeding (P =.88) or any thrombosis (P =.55). Conclusions: The use of a standardized anticoagulation protocol is feasible and might reduce the incidence of bleeding and thrombosis events in postcardiotomy patients.

Long-term outcomes of truncus arteriosus repair: A modulated renewal competing risks analysis

Objective: In this study, we sought to identify independent risk factors for mortality and reintervention after early surgical correction of truncus arteriosus using a novel statistical method.Methods: Patients undergoing neonatal/infant truncus arteriosus repair between January 1984 and December 2018 were reviewed retrospectively. An innovative sta tistical strategy was applied integrating competing risks analysis with modulated renewal for time-to-event modeling.Results: A total of 204 patients were included in the study. Mortality occurred in 32 patients (15%). Smaller right ventricle to pulmonary artery conduit size and truncal valve insufficiency at birth were significantly associated with overall mortality (right ventricle to pulmonary artery conduit size: hazard ratio,1.34; 95% confidence interval, 1.08-1.66, P = .008; truncal valve insufficiency: hazard ratio, 2.5; 95% confidence interval, 1.13-5.53, P = .024). truncal valve insufficiency at birth, truncal valve intervention at index repair, and number of cusps (4 vs 3) were associated with truncal valve reoperations (truncal valve insufficiency: hazard ratio, 2.38; 95%, confidence interval, 1.13-5.01, P = .02; cusp number: hazard ratio, 6.62; 95% confidence interval, 2.54-17.3, P < .001). Right ventricle to pulmonary artery conduit size 11 mm or less was associated with a higher risk of early catheter-based reintervention (hazard ratio,1.54; 95% confidence interval, 1.04-2.28, P = .03) and reoperation (hazard ratio, 1.96; 95% confidence interval, 1.33-2.89, P = .001) on the right ventricle to pulmonary artery conduit.Conclusions: Smaller right ventricle to pulmonary artery conduit size and truncal valve insufficiency at birth were associated with overall mortality after truncus arteriosus repair. Quadricuspid truncal valve, the presence of truncal valve insufficiency at the time of diagnosis, and truncal valve intervention at index repair were associated with an increased risk of reoperation. The size of the right ventricle to pulmonary artery conduit at index surgery is the single most important factor for early reoperation and catheter-based reintervention on the conduit