scholarly journals Bayesian Ridge Algorithm for Brix Prediction in Industrial Tomato

Author(s):  
Christoforos Nikitas KASIMATIS ◽  
Evangelos PSOMAKELIS ◽  
Nikolaos KATSENIOS ◽  
Eleni PAPATHEODOROU ◽  
Ioanna KAKABOUKI ◽  
...  

Tomato is one of the most significant vegetables in the world. Specifically, for the industrial tomato cultivation, the product is harvested when °Brix are at their peak. Technological advancements nowadays have made Decision Support Systems, based on Machine Learning Algorithms more applicable in a daily basis. Sustainable agriculture is evolving since farmers could be advised by this technology in order to take the best decision for their crops. Farmers who adopt this kind of technology will be able to know the quality of tomatoes. The implementation of a Decision Support System capable to predict the °Brix was conducted, based on various data from previous years, such as quality characteristics, the tomato hybrid used, weather conditions and soil data from the selected fields. Data came from fields from 6 different regions in Peloponnese, Greece over 3 cultivation periods. 12 different algorithms were tested in order to find which is the best one in terms of efficiency. Results of this research showed that the predicted °Brix were following the same pattern as the actual °Brix. This means that the DSS could advise the farmer about the ideal harvesting period where the °Brix will be maximized. The use of this DSS using real time weather data as an input will be a valuable tool for the farmers.

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4846
Author(s):  
Dušan Marković ◽  
Dejan Vujičić ◽  
Snežana Tanasković ◽  
Borislav Đorđević ◽  
Siniša Ranđić ◽  
...  

The appearance of pest insects can lead to a loss in yield if farmers do not respond in a timely manner to suppress their spread. Occurrences and numbers of insects can be monitored through insect traps, which include their permanent touring and checking of their condition. Another more efficient way is to set up sensor devices with a camera at the traps that will photograph the traps and forward the images to the Internet, where the pest insect’s appearance will be predicted by image analysis. Weather conditions, temperature and relative humidity are the parameters that affect the appearance of some pests, such as Helicoverpa armigera. This paper presents a model of machine learning that can predict the appearance of insects during a season on a daily basis, taking into account the air temperature and relative humidity. Several machine learning algorithms for classification were applied and their accuracy for the prediction of insect occurrence was presented (up to 76.5%). Since the data used for testing were given in chronological order according to the days when the measurement was performed, the existing model was expanded to take into account the periods of three and five days. The extended method showed better accuracy of prediction and a lower percentage of false detections. In the case of a period of five days, the accuracy of the affected detections was 86.3%, while the percentage of false detections was 11%. The proposed model of machine learning can help farmers to detect the occurrence of pests and save the time and resources needed to check the fields.


2017 ◽  
Vol 1 (4) ◽  
pp. 100-101
Author(s):  
Marsa Gholamzadeh ◽  
Hamidreza Abtahi

Introduction: The intensive care unit can be defined as a complex system that composed of clinical informations, tasks and knowledge. It is also one of the most stressful and most vital parts of healthcare centers which involve a huge amount of information and clinical data daily. These informations should be analyzed and managed in the best way as soon as possible to restore patients to normal by health professionals. Accurate and timely diagnosis, the best treatment and to avoid any possible error in this section can be equivalent to achieve the best possible result and reducing the length of hospitalization and mortality. As a result, due to the complex nature of the critical care and the mass of clinical data; using a combination of medical knowledge with the latest technologies and use of medical informatics capabilities can be the best way to reduce the workload of the sector and improve the quality of patient care. Methods: A systematic search was conducted on the PubMed/MEDLINE, web of science, BMJ, ScienceDirect, and Scopus database for finding studies that have related to critical care and usage of informatics or medical informatics. The collected data and results are summarized by researchers and the results analyzed based on similarities and differences. Results: With increased development of medical informatics and electronic systems has led to substantial progress in the field of critical care since 1980 till now around the world. Several articles, research projects has published. From 1981 to 2016 almost 600 scientific papers were found which included reports, posters and thesis written in context of critical care medical informatics. More than 65 percent of these studies is about designing CDSS in this field. Today, many of these systems are used in medical centers around the world and lead to improving the quality of patient care and reduce medical errors in intensive care units. Among these 600 papers, 230 articles related to our issue in fields of the design of electronic records, clinical information systems, decision support systems, data mining, telemedicine, smart analysis of clinical information and knowledge extraction techniques were selected as the main source of this study. Conclusion: According to results of our study, it seems that critical care is potentially a valuable resource for medical informatics researches. The applied of medical informatics in the different fields of the diagnosis, interpretation, and treatment in different countries have improved the quality of care for patients in critical care field. We can mention some common fields which used such as infection control and early detection in intensive care units, clinical information systems, and CPOE and decision support systems such as APACHE system for grading the severity of illness of patients who hospitalized and even telemedicine. Since this area of research has not been a field of interest in Iran yet, it seems that this study with the aim of review the application of medical informatics in different countries could lead to practical researches in this field.


2021 ◽  
pp. 150-155
Author(s):  
Antonio Luiz Viegas Neto ◽  
Cristiano Márcio Alves de Souza ◽  
Matheus Marques Miliati ◽  
Izidro Dos Santos Lima Júnior

The inspection of agricultural sprayers is a vital tool for the increment of quality of spray technology for phytosanitary products. The objective of this work was to evaluate the performance conditions of self-propelled sprayers on-farm, using the periodical inspection methodology for sprays and analyzing the climatic conditions during the spraying. The evaluations were carried on farms visited randomly. A questionnaire was filled out by the operator or farmers and the inspection itself of the sprayers. The items evaluated were the condition and location of hoses, presence of leaks, monitor performance, spacing between nozzles, spray nozzles, in-line filter, primary filter, the performance of anti-dripping gauges, and limiting environmental conditions. Most interviewed operators and farmers did not know the methodology for inspecting agricultural sprayers, demonstrating the need to create specific training programs in the region. Self-propelled sprayers have a few technical problems when they were new, however, spraying beyond the ideal weather conditions can reduce the spraying quality.


Author(s):  
Alfonso Parra-Coronado ◽  
Gerhard Fischer ◽  
Jesús H. Camacho-Tamayo

ABSTRACT The post-harvest quality of pineapple guava fruit is determined by the storage and prevailing weather conditions during growth and development. This study proposes a model for post-harvest fruit quality according to the storage and weather conditions in the pineapple guava growing region. Physiologically ripe fruit were collected during two harvests from two locations within the Department of Cundinamarca (Colombia): Tenjo and San Francisco de Sales. The fruits were stored at 18 ± 1 °C (76 ± 5% relative humidity (RH), over 11 days) and at 5 ± 1 °C (87 ± 5% RH, over 31 days), and the quality attributes were evaluated every two days. Models of the most significant physio-chemical quality characteristics of the post-harvest fruit were developed by using the Excel® Solver tool for all data obtained in the two crop periods. The results showed that storage and prevailing weather conditions, which differed according to the altitude of the growing site, had considerable impacts on the physio-chemical characteristics of the fruit throughout the post-harvest ripening process.


2017 ◽  
Vol 7 ◽  
pp. 24-42
Author(s):  
Joanna Dudek

The fundamental activity enabling the revival of the university ethos is to reconsider the specific mission of the university in times of changing reality. One commonly experiences the divergence between values and principles that traditionally referred to the idea of the university and its ethos, and the practice of entangling the world of science in the sphere of politics, ideology and business. On the other hand, there are noticeable actions demonstrting the ability of self-assessment and self-report: the disclosure of scientific fraud, publicity of conflicts of interest, struggle for scientific independence and autonomy of the university, dissemination of good manners in science. The situation requires from academic communities to redefine the ideal of the university that will determine its contemporary identity, mission, and the quality of its ethos.


2021 ◽  
Vol 11 (2) ◽  
pp. 91-96
Author(s):  
FANDI AZIZ

In the development of the world of work, a reward is an important factor to improve the quality of human resources as well as an appreciation for those with enhancement. Therefore, a company should be careful in performing its assessment. Thus, a decision support system application is required to assist a company in performing the assessment process. Accordingly, the decision-making process uses the Simple Additive Weighting (SAW) method. Results of the system functionality can run 100% well and as needed, and the result of the system accuracy test are 100%. This indicates that a decision support system can function properly with the Simple Additive Weighting (SAW) method. Keywords: Reward, Simple Additive Weighting (SAW), Decision Support System


2016 ◽  
Vol 34 (1) ◽  
pp. 1 ◽  
Author(s):  
Moleen Monita Nand ◽  
Viliamu Iese ◽  
Upendra Singh ◽  
Morgan Wairiu ◽  
Anjeela Jokhan ◽  
...  

Decision Support System for Agrotechnology Transfer (DSSAT) SUBSTOR Potato model (v4.5) was calibrated using Desiree variety. DSSAT SUBSTOR Potato model simulates on a daily basis the development and growth of potatoes using inputs such as climate, soil and crop management. The experiment was conducted in Banisogosogo, Fiji Islands, during the potato growing season of 2012. Fresh and dry weights of belowground plant component (tubers) were taken during progressive harvests. The DSSAT SUBSTOR Potato model was calibrated using experimental field data, soil and weather data of the growing season. The manual calibration steps involved recalculation of soil water content and the adjustments of genetic co-efficient to suit the temperature and daylength regime similar to the experimental conditions. Tuber dry weight was used as the main parameter to evaluate the model. The R2 values of the observed and simulated model outputs before calibration for replicate plot 1, replicate plot 2 and replicate plot 3 were 0.52, 0.49 and 0.61 respectively. After calibration, the R2 values for tuber dry yield for replicate plot 1, replicate plot 2 and replicate plot 3 were 0.88, 0.66 and 0.92 respectively indicating a strong positive relationship between the simulated and the observed yield.


2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Kumar Neeraj Sachdev

An attempt is made in the paper to analyze the nature of virtue of ecological sensitivity to argue for its relevance and need in the business world. Ecological sensitivity is a virtue or quality of a human being to relate himself to the environment in a protective spirit of oneness. It is not a virtue by extension from human to environment like compassion or empathy but a virtue of independent normative standing since it is argued to be equal to other personal and inter-personal virtues in the pool of virtues to live a good human life. It is further argued that since ethics is a study of values and virtues to live a good human life and business companies are a great source to sustain and improve upon the state of mankind in the world and the condition of planet earth itself, it makes sense to emphasize the need to include ecological sensitivity as a virtue in the conduct of business professionals. It also attempts to understand how the business professionals ought to interpret ecological sensitivity in and around their surroundings on a daily basis.


Author(s):  
A. Tobey Yu

Millions of tons of coal, ore and other bulk commodities change hands all over the world on a daily basis. Dollar amounts involved are enormous. Financial impact brought on by possible cargo quality discrepancies can be staggering. On what basis are the accounts normally settled and in the event disputes arise, how are they resolved to the satisfaction of everyone concerned? Recently another problem of quite a different nature has emerged. It is the SO, emissions from power plant stacks. With acid rain legislation in serious contention in Washington, potential ominous fines or even the threat of plant shut down will force our coal burning power plants to initiate strict quality control of coal to ensure their adherence to the imposed sulfur limits. Enforcement of these rules will trigger yet another legal battle. How can these plants accurately monitor the quality of the tens of thousands tons of coal fed daily into the boilers? These two problems are quite different in nature.


2016 ◽  
Vol 10 (2-3) ◽  
pp. 97-105
Author(s):  
Prescilla V. Jeurink ◽  
Athanasios Damialis ◽  
Harry Wichers ◽  
Huub F.J. Savelkoul

The United Nations have projected the world population to reach 9.6 billion by 2050 and that, by then, over 50% of the world population will be living in urban areas. This continuing population growth and accompanying urbanization lead to serious concerns about clean water and food for all, but also about climate change and pollution. Soil and water pollution are directly affecting the crops grown for consumption, and air pollution is affecting our mucosal barriers in the respiratory and gastro-intestinal tract on a daily basis. This review provides an overview of the different types of pollution, and the health effects triggered by especially air pollution ranging from heart disease, pulmonary disease, cancer, to fatal respiratory infections. In addition, the differences in how pollution-induced effects are affecting different age-groups are discussed. Finally, the socio-economic causes and consequences (e.g. Quality of Life and Years of Life Losses versus medical care cost) of these pollution-induced diseases are debated.


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