scholarly journals Modelagem para recomendação de calagem e adubação para as principais regiões produtoras de grãos do Brasil na linguagem SQL

2019 ◽  
Vol 40 ◽  
pp. 131
Author(s):  
Henrique Alfonso Priebe ◽  
Robert Rafael Araujo Oliveira ◽  
Adriano Rodrigues Luz ◽  
Eduardo Silveira Dornelles ◽  
Gustavo Alves da Silva Bezerra ◽  
...  
Keyword(s):  
Soil Analysis ◽  
Conceptual Modeling ◽  
Grain Crops ◽  
Modeling Process ◽  
Logical Operations ◽  
Fertilizer Recommendations ◽  
Productive System ◽  
Case Technologies ◽  
Logical Modeling ◽  
Mathematical Operations

The agribusiness has a significant importance to the Brazilian economy. In this case, technologies are needed to increase the efficiency of the productive system, but there are few technological tools that perform interpretations of soil analysis and fertilizer recommendations efficiently and comprehensively. In this context, the AgroFert system proposes to make corrective and fertilizer recommendations based on soil analyzes for several regions and grain crops of Brazil, through two systems: web and mobile, which uses a knowledge base in liming and fertilization. Therefore, this work aims at presenting the conceptual and logical modeling process of a database that have rules of information management to interpret the results of soil analysis reports and to recommend soil correctives and fertilizers. Rules were created that use comparisons, filtering, mathematical operations and logical operations, modeled in the SQL language, and when executed, generate interpretations of soil analysis and recommendations for correctives and fertilizers. The AgroFert covers the states of Rio Grande do Sul, Santa Catarina, Paraná, Minas Gerais and São Paulo and the biome of Cerrado. In addition to the conceptual modeling, 22 operations were created, totaling approximately 400 lines of code, and it was possible to recommend fertilizers for 13 grain crops. The results of the tests showed that the computerization of the data present in the RS / SC and Paraná manuals facilitated the interpretation of the data present in soil analysis reports, besides increasing the precision and agility in the recommendations of corrective and fertilizer producers.

scholarly journals Rekomendasi Pemupukan Fosfor dan Potasium berdasarkan Analisis Hara Tanah pada Tanaman Sayuran

2014 ◽  
Vol 1 (2) ◽  
pp. 81
Author(s):  
Lutfi Izhar ◽  
Anas D. Susila
Keyword(s):  
Soil Type ◽  
Agricultural Development ◽  
Soil Analysis ◽  
Soil Nutrient ◽  
Nutrient Status ◽  
Vegetable Crops ◽  
Soil P ◽  
Fertilizer Recommendation ◽  
Fertilizer Recommendations ◽  
Low K

<p>ABSTRACT</p><p><br />Vegetables are important agricultural commodities. Productivity of vegetables in Indonesia is still low. One effort that can be done is an application of specific fertilizer recommendations. Fertilizer recommendation based on soil analysis is still rarely for vegetable crops and need further development. The purpose of this paper is to describe some fertilizer recommendations based on soil analysis for vegetable crops. Three stages to consider in the assessment of the research such as soil incubation, correlation test, calibration test and fertilizer <br />recommendation statue. Application all this stages of soil method recommendation in Indonesia is still not widely applied. Two researches which were completed until the entire stage has been done for yard long beans and <br />tomatoes. Recommendations for tomatoes on Inceptisols soil type with very low nutrient status of soil K was 180 kg K2O ha- 1, a low K soil nutrient status was 131.4 kg K2O ha-1, soil K nutrient status was 82.2 kg K 2O ha-1. Yard <br />long bean that planted on Ultisol soil type with low soil P nutrient status was recommended by an application of 185.8 kg P2O5 ha-1, medium soil P nutrient status was added 174.9 kg P2O5 ha-1. Development of fertilizer recommendation based on soil testing to support agricultural development in Indonesia still has some problems and need some strategies for further research, application and dissemination in the future.</p><p>Key words: vegetables, soil test, fertilizer recommendation</p>

scholarly journals A Site-Specific Fertilizer Recommendation Based on the Phosphorus and Potassium Status in Mempawah District, West Kalimantan

2020 ◽  
Vol 25 (2) ◽  
pp. 93
Author(s):  
Muhammad Hatta
Keyword(s):  
Soil Analysis ◽  
Nutrient Status ◽  
Soil Samples ◽  
Paddy Fields ◽  
Site Specific ◽  
West Kalimantan ◽  
Fertilizer Recommendation ◽  
Fertilizer Recommendations ◽  
Phosphorus And Potassium ◽  
A Site

The recommendations of Phosphorus (P) and Potassium (K) fertilization for rice are still not site-specific yet due to a lack of required soil data information.  The P and K status of the paddy fields that provide information on the low, medium, and high P and K nutrient status are very useful for determining recommended the site-specific fertilizer in the the district area. The purpose of the research was to determine the site-specific fertilizer recommendation for paddy field based on their P and K status. This research was based on the field survey and the soil analysis in the laboratory. The soil samples were taken using a grid system, and the P and K levels were assessed by using a 25% HCl extraction. Soil samples were taken in a composite manner on all paddy fields in which their status have been identified. The composite soil samples were determined from 10 - 15 individual samples (sub-samples) with a sampling distance of each sub-sample of 25-50 m in the field.  The soil samples were taken in the overlay with a depth of 0-20 cm. Taking sub-samples were done by a diagonal or a zigzag method according to the conditions of paddy fields. The results of the study presented that the nutrient status of P and K and the fertilizer recommendations in paddy fields for rice plants located in 9 sub-districts in Mempawah Dsitrict had shown that nutrient status of P, on average, were from moderate to high levels, meanwhile, the nutrient status of K was from low to high levels. Recommendations for fertilizing rice fields in several sub-districts in Mempawah Regency are mostly 150 kg NPK (15:15:15) ha-1, 200 kg Urea ha-1 and 25 kg KCl ha-1.

The Cartesian Doubt Experiment and Mathematics

1998 ◽  
pp. 35-40
Author(s):  
Halil Turan
Keyword(s):  
Common Sense ◽  
Mathematical Proposition ◽  
Logical Operations ◽  
Substantial Problem ◽  
And Mathematics ◽  
Mathematical Operations ◽  
Cartesian Doubt ◽  
Positive Results

The view that Descartes called mathematical propositions into doubt as he impugned all beliefs concerning common-sense ontology by assuming that all beliefs derive from perception seems to rest on the presupposition that the Cartesian problem of doubt concerning mathematics is an instance of the problem of doubt concerning existence of substances. I argue that the problem is not 'whether I am counting actual objects or empty images,' but 'whether I am counting what I count correctly.' Considering Descartes's early works, it is possible to see that for him, the proposition '2+3=5' and the argument 'I think, therefore I am,' were equally evident. But Descartes does not found his epistemology upon the evidence of mathematical propositions. The doubt experiment does not seem to give positive results for mathematical operations. Consciousness of carrying out a mathematical proposition, however, unlike putting forth a result of an operation, is immune to doubt. Statements of consciousness of mathematical or logical operations are instances of 'I think' and hence the argument 'I count, therefore I am' is equivalent to 'I think, therefore I am.' If impugning the veridicality of mathematical propositions could not pose a difficulty for Descartes's epistemology which he thought to establish on consciousness of thinking alone, then he cannot be seen to avoid the question. Discarding mathematical propositions themselves on the grounds that they are not immune to doubt evoked by a powerful agent does not generate a substantial problem for Descartes provided that he believes that he can justify them by appeal to God's benevolence.

scholarly journals Intelligent learning environment for better student’s academic performance

2021 ◽  
Vol 343 ◽  
pp. 11010
Author(s):  
Anca – Elena Vişan’ ◽  
Mihai – Victor Zerbes ◽  
Ştefania Kifor
Keyword(s):  
Academic Performance ◽  
Learning Environment ◽  
Virtual Environment ◽  
Performance Indicators ◽  
Scientific Literature ◽  
Conceptual Modeling ◽  
Learning Space ◽  
Environment Model ◽  
Modeling Process ◽  
Intelligent Learning Environment

In this paper, the authors aim to develop an intelligent learning environment model designed to improve students’ academic performance. Methodology: Referring to the litarature, the authors identified and analyzed a number of relevant issues that influence the specific components of an intelligent learning environment. These aspects were quantified using performance indicators defined on the basis of the specific objectives of each aspect chosen. Results: Following the analysis, the authors developed a model of intelligent learning space, and for its representation, we used conceptual modeling. Conclusions: Finally, the authors propose the prevalidation of the model using the dynamic modeling process and then the model will be piloted for final validation in both physical and virtual environment. These aspects are proposed because in the present study, the model was validated only based on the results from studies in scientific literature.

scholarly journals Ontology-Based Liability Decision Support in the International Maritime Law

2020 ◽  
Author(s):  
Mirna El Ghosh ◽  
Habib Abdulrab
Keyword(s):  
Decision Support ◽  
Conceptual Modeling ◽  
Liability Rule ◽  
Maritime Law ◽  
Legal Rules ◽  
Modeling Process ◽  
Legal Domain ◽  
Core Ontologies ◽  
Procedural Aspect

In this paper, we present an ontology-based liability decision support task in the international maritime law, specifically the domain of carriage of goods by sea. We analyze the liabilities of the involved legal agents (carriers and shippers) in case of loss or damage of goods. Thus, a well-founded legal domain ontology, named CargO-S, is used. CargO-S has been developed using an ontology-driven conceptual modeling process, supported by reusing foundational and legal core ontologies. In this work, we demonstrate the usability of CargO-S to design and implement a set of chained rules describing the procedural aspect of the liabilities legal rules. Finally, we employ these rules in a liability rule-based decision support task using a real case study.

Conventional and Non-Conventional Data Modeling

2013 ◽  
pp. 141-158
Author(s):  
Maria Salete Marcon Gomes Vaz ◽  
Lucélia de Souza
Keyword(s):  
Real World ◽  
Conceptual Modeling ◽  
Data Modeling ◽  
Relational Model ◽  
Data Types ◽  
Database Applications ◽  
Modeling Process ◽  
Object Relational ◽  
Entity Relationship ◽  
Conversion Rules

The modeling of database applications involves deciding on how to represent the project in real-world objects. The data modeling process corresponds to a set of conceptual tools to describe data, its relationships, its semantics, and constraints of consistency. This process involves the steps related to the identification of requisites, conceptual modeling of data, conventional modeling, and non-conventional modeling of objects, and its relationships. In the conceptual modeling, where there is no need to specify the methods and data flow, objects and their relationships are defined. In conventional modeling, in the mapping of the conceptual model (Entity/Relationship) to the logical model (Relational) conversion rules are applied. However, there are non-conventional resources with the ability to create and use data types based on a grouping of other data types. The user-defined objects can be defined and used like any other data type. This chapter describes the process of mapping the relational model for the object-relational modeling, using a practical application in agricultural context, but it should be noted that the methodology is applicable to any area of knowledge.

scholarly journals The effect of sulphur and lime dosage application on grain yield of hybrid maize

2021 ◽  
Vol 911 (1) ◽  
pp. 012036
Author(s):  
F. Tabri ◽  
Syafruddin ◽  
M. Aqil ◽  
Herawati
Keyword(s):  
Grain Yield ◽  
Soil Ph ◽  
Soil Analysis ◽  
Group Design ◽  
South Sulawesi ◽  
Fertilizer Recommendations ◽  
Split Plot ◽  
Hybrid Maize

Abstract The preparation of the Method for Determining Fertilizer S Recommendations for Maize based on Soil Analysis and Yield has been carried out at the Bontobili Installation, Gowa Regency, South Sulawesi, from February 2020 to May 2020. The purpose of this experiment is to find out S fertilizer recommendations based on soil analysis. The pH of the study site was <6.5, and to make a difference in soil pH, it was incubated with lime 2 t/ha to raise the pH to neutral and 4 t/ha to obtain a pH >7.5. For each soil pH condition treatment was made using a split plot group design. The main plots were given agricultural lime at a rate of 0, 200kg/ha, 400 kg/ha and 600 kg/ha.. While the sub-plots were fertilized with S, namely: 0.20,40,60,80, kg S with 3 (three) replications. All treatments will be fertilized with N and P based on soil analysis. The highest yield was obtained with lime and S fertilizer at the dose of K3S60 (600 kg/ha lime and 60 t/ha S fertilizer) showing the highest yield of 10.81 t/ha and not significantly different from the K3S80 treatment (600 t/ha lime). and fertilizer S 80 kg/ha) which is 10.64 t/ha.

A Meta-Analysis of Ontological Guidance and Users' Understanding of Conceptual Models

2020 ◽  
Vol 31 (4) ◽  
pp. 46-68
Author(s):  
Arash Saghafi ◽  
Yair Wand
Keyword(s):  
Information Systems ◽  
Conceptual Models ◽  
Meta Analysis ◽  
Conceptual Modeling ◽  
Information Systems Success ◽  
Modeling Process ◽  
Real World Applications ◽  
The Impact ◽  
Do So

Information systems are intended to be faithful accounts of real-world applications. As an integral part of the development process, analysts create conceptual models in order to understand the application and communicate requirements. Failure to do so has been a prominent reason for IT projects' failure. Hence, improving the quality of models could have a major impact on the information systems' success. To guide the modeling process, researchers use ontology to create more expressive representations of reality. However, improving expressiveness can make the models complicated and cause cognitive hurdles for users. Therefore, the question is whether ontological guidance is worth the trade-off between expressiveness and complexity. This paper describes a meta-analysis of empirical research examining the impact of ontological guidance on users' understandability. The results show that ontological guidance can improve users' understanding of conceptual models, especially those requiring deeper understanding, thus providing support for ontological guidance in conceptual modeling.

Soil sample preparation techniques on routine analyses in Quebec affect lime and fertilizer recommendations

2016 ◽  
Vol 96 (2) ◽  
pp. 244-255 ◽  
Author(s):  
Hakima Chelabi ◽  
Lotfi Khiari ◽  
Jacques Gallichand ◽  
Claude-Alla Joseph
Keyword(s):  
Sample Preparation ◽  
Soil Sample ◽  
Soil Analysis ◽  
Size Distributions ◽  
Particle Size Distributions ◽  
Chemical Parameters ◽  
Fertilizer Recommendations ◽  
Parameters Measurement ◽  
Preparation Techniques ◽  
Interlaboratory Reproducibility

Inadequate and (or) inconsistent soil sample preparation techniques (SPT) contribute to excessive variance, difficulties in soil test interpretation, and incorrect lime and fertilizer recommendations. The objective of this study was to evaluate the effect of SPT of five laboratories in Quebec (Canada) on chemical parameters measurement reliability. Samples of fine (G1), medium (G2), and coarse (G3) textured soils were collected from the surface layer. Three 500 g portions of each soil were sent to each laboratory for preparation. In addition, all samples were analyzed by the same laboratory for routine analyses. Nested ANOVA in a hierarchical model were performed with components of SPT interlaboratory reproducibility, SPT intralaboratory replicability, and intralaboratory soil analysis repeatability. Before samples were analyzed, we observed an important interlaboratory heterogeneity of particle size distributions for the same samples; due to sample preparation techniques, this can affect results of the analyses. Of all variables analyzed, the only significant, outside acceptable variations due to SPT were (1) pHwater in G1; (2) PM-III, AlM-III, and (P/Al)M-III in G1 and G2; (3) KM-III, CaM-III, MgM-III and organic matter in G3; and (4) MnM-III and CuM-III in G1, G2, and G3. The steps in SPT, mostly drying and crushing, require standardization to reduce the variance of the entire soil testing process.

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