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SPATIAL DISTRIBUTION AND SEQUENTIAL SAMPLING OF Brevipalpus phoenicis IN CITRUS Rev. Bras. Frutic.
MALDONADO JR,WALTER; BARBOSA,JOSÉ CARLOS; COSTA,MARÍLIA GREGOLIN; GONÇALVES,PAULO CÉSAR TIBURCIO; SANTOS,TIAGO ROBERTO DOS.
ABSTRACT Among the pests of citrus, one of the most important is the red and black flat mite Brevipalpus phoenicis (Geijskes), which transmits the Citrus leprosis virus C (CiLV-C).When a rational pest control plan is adopted, it is important to determine the correct timing for carrying out the control plan. Making this decision demands constant follow-up of the culture through periodic sampling where knowledge about the spatial distribution of the pest is a fundamental part to improve sampling and control decisions. The objective of this work was to study the spatial distribution pattern and build a sequential sampling plan for the pest. The data used were gathered from two blocks of Valencia sweet orange on a farm in São Paulo State, Brazil, by 40...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Red and black flat mite; Negative binomial; Poisson distribution; Decision making; Integrated pest management.
Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-29452016000400401
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ปัจจัยที่มีอิทธิพลต่อการตัดสินใจเข้าร่วมโครงการผลิตมะม่วงตามแนวทางการเกษตรดีที่เหมาะสมของเกษตรกรในพื้นที่อำเภอปากช่อง จังหวัดนครราชสีมา Thai Agricultural
Jirawan Lertkunnaluk; Panya Mankeb; Thamrong Mekhora.
This study aimed at exploring factors influencing farmer’s decision making in Good Agricultural Practice (GAP) of mango production project in Pak Chong District, Nakhon Ratchasima Province. Interview schedule was applied with 260 farmers. The descriptive statistics and logistic regression analysis were used for data analysis. The results showed that most respondents were female, 46.19 years of age, and were graduated above elementary educational level. The average household members were 4.32 persons. The experience in growing mango was 10.88 years on average, the average mango farm area was 39.93 rai with the average production of 1,233 k.g./rai/year. The average incomes from mango production were 102,580 baht/rai/year with the average cost of 82,904...
Tipo: PhysicalObject Palavras-chave: Mango production; Good agricultural practice; Decision making; มะม่วง; เกษตรดีที่เหมาะสม; การผลิต; การตัดสินใจ; เกษตรกร; จ.นครราชสีมา อ.ปากช่อง.
Ano: 2012 URL: http://anchan.lib.ku.ac.th/agnet/handle/001/5386
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Environment simulator for studying automatic crop farming CIGR Journal
Oksanen, Timo; Hakojärvi, M.; Maksimow, T.; Aspiala, A.; Hautala, M.; Visala, A.; Ahokas, J..
Agricultural machines capable of utilizing variable rate application technology are tackling spatial variability in agricultural fields.  Agricultural field robots are the next step in technology, robots which are capable of utilizing sensor and actuating technologies without human contact and operate only areas of interest.  However, agricultural field robots are still under research.  Robots are just one part of the next generation of crop farming having more advanced tools to do the work which currently requires humans.  The next generation of crop farming, in the vision of the authors, is based on automation, which incorporates stationary and moving sensors systems, robots, model based decision making, automated operation planning which adapts to...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Robots; Crop growth models; Soil water models; Precision agriculture; Environment simulation; Decision making; Operation planning.
Ano: 2014 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/2604
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Sequential sampling plan for fruit fly species of the Genus Anastrepha (Diptera: Tephritidae) in guava orchards Anais da ABC (AABC)
NICÁCIO,JOSÉ; OLIVEIRA,ISAIAS DE; UCHOA,MANOEL A.; FACCENDA,ODIVAL; ABOT,ALFREDO R.; FERNANDES,MARCOS G.; GARCIA,FLÁVIO R.M..
Abstract This study aimed to elaborate a sequential sampling plan for Anastrepha species in commercial orchards of guava Psidium guajava Novo Milênio cultivar. Samplings were carried out in three orchards in the State of Mato Grosso do Sul. Fruit flies were sampled for 23 weeks. Data were subjected to the sequential probability ratio test. We adopted the mean of 0.3 Anastrepha individuals for the safety level and 0.7 for the control level and the observed frequency was adjusted to the negative binomial expected frequency (Bn) for the equation of the line. The condition of adopting a control method recommended by S1 = 6.5554 + 0.5362n was observed in the upper line. In turn, the lower line, which does not require the use of a control method, is defined by...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Fruit farming; Decision making; Population monitoring; Integrated pest management.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000703607
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Forecasting the Electricity Consumption in a Higher Education Institution BABT
Pepplow,Luiz Amilton; Betini,Roberto C.; Pereira,Thulio C. G..
Abstract The objective of this paper is to present a mathematical representation by Regression Analysis that enables the projection of electricity consumption according to the built area and population in Higher Education Institutions (HEI) and to define an Indicator that contemplates the most significant variable in consumption. of electric power. The Null Hypothesis -H0 is that in a HEI the most appropriate indicator is the Kilo Watt Hour per square meter (kWh / m2) as proposed by the Ministry of Planning and Management - MP. The research universe is 2,368 HEI, identified in a report from the Ministry of Education (2015). As Sample and case study, data from the thirteen Campi of the Federal Technological University of Paraná (UTFPR) are used. As a...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Indicators of electricity consumption; Regression analysis; Decision making.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132019000200203
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Decision support system for the diagnosis of schizophrenia disorders BJMBR
Razzouk,D.; Mari,J.J.; Shirakawa,I.; Wainer,J.; Sigulem,D..
Clinical decision support systems are useful tools for assisting physicians to diagnose complex illnesses. Schizophrenia is a complex, heterogeneous and incapacitating mental disorder that should be detected as early as possible to avoid a most serious outcome. These artificial intelligence systems might be useful in the early detection of schizophrenia disorder. The objective of the present study was to describe the development of such a clinical decision support system for the diagnosis of schizophrenia spectrum disorders (SADDESQ). The development of this system is described in four stages: knowledge acquisition, knowledge organization, the development of a computer-assisted model, and the evaluation of the system's performance. The knowledge was...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Clinical decision support systems; Artificial intelligence; Decision making; Expert systems; Schizophrenia; Medical informatics.
Ano: 2006 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2006000100014
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An agent-based simulation combined with group decision-making technique for improving the performance of an emergency department BJMBR
Yousefi,M.; Ferreira,R.P.M..
This study presents an agent-based simulation modeling in an emergency department. In a traditional approach, a supervisor (or a manager) allocates the resources (receptionist, nurses, doctors, etc.) to different sections based on personal experience or by using decision-support tools. In this study, each staff agent took part in the process of allocating resources based on their observation in their respective sections, which gave the system the advantage of utilizing all the available human resources during the workday by being allocated to a different section. In this simulation, unlike previous studies, all staff agents took part in the decision-making process to re-allocate the resources in the emergency department. The simulation modeled the behavior...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Agent-based simulation; Patient flow; Decision making; Emergency department; Health industry.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2017000500701
Registros recuperados: 67
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