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Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
18/12/1997 |
Data da última atualização: |
25/09/2007 |
Autoria: |
LIMA, R. C.; MIRANDA, L. C.; GONCALVES, W. M. |
Título: |
An application for risk estimation on rural credit markets. |
Ano de publicação: |
1997 |
Fonte/Imprenta: |
In: CONGRESSO DA SOCIEDADE BRASILEIRA DE INFORMÁTICA APLICADA A AGROPECUÁRIA E AGROINDÚSTRIA ,1., 1997, Belo Horizonte. Anais... Belo Horizonte: Agrosoft: CTSOFT: SBI-AGRO, 1997. |
Páginas: |
p.133-140 |
Idioma: |
Inglês |
Notas: |
Agrosoft 97. |
Conteúdo: |
Agricultural production in less developed countries has generally been regarded as highly risk. The knowledge of the probability distribution associated with paying a loan on rural credit markets is likely to decrease uncertainty, and to increase the supply of landing money available for agricultural´producers. In the present work a logit model associates the ability of producers in paying a loan to their social and economic characteristics, and the amount of money borrowed. The estimated coeficients are used to examine the influence of each characteristic of the producer to its ability to paying a loan. The cumulative logistic function estimates are used in the MS Excel to calculate the probability of a producer paying a loan given a set of social and economic characteristics. The application is organized with the aid of visualbasic programming language in a way of allowing entries related to the characteristics of producers. The program output is the loan payment probability for a set of given characteristics of producers. |
Palavras-Chave: |
Agroinformática; Agroinformatics; Informática agropecuária. |
Categoria do assunto: |
-- |
Marc: |
LEADER 01730naa a2200205 a 4500 001 1005579 005 2007-09-25 008 1997 bl uuuu u00u1 u #d 100 1 $aLIMA, R. C. 245 $aAn application for risk estimation on rural credit markets. 260 $c1997 300 $ap.133-140 500 $aAgrosoft 97. 520 $aAgricultural production in less developed countries has generally been regarded as highly risk. The knowledge of the probability distribution associated with paying a loan on rural credit markets is likely to decrease uncertainty, and to increase the supply of landing money available for agricultural´producers. In the present work a logit model associates the ability of producers in paying a loan to their social and economic characteristics, and the amount of money borrowed. The estimated coeficients are used to examine the influence of each characteristic of the producer to its ability to paying a loan. The cumulative logistic function estimates are used in the MS Excel to calculate the probability of a producer paying a loan given a set of social and economic characteristics. The application is organized with the aid of visualbasic programming language in a way of allowing entries related to the characteristics of producers. The program output is the loan payment probability for a set of given characteristics of producers. 653 $aAgroinformática 653 $aAgroinformatics 653 $aInformática agropecuária 700 1 $aMIRANDA, L. C. 700 1 $aGONCALVES, W. M. 773 $tIn: CONGRESSO DA SOCIEDADE BRASILEIRA DE INFORMÁTICA APLICADA A AGROPECUÁRIA E AGROINDÚSTRIA ,1., 1997, Belo Horizonte. Anais... Belo Horizonte: Agrosoft: CTSOFT: SBI-AGRO, 1997.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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Registro Completo
Biblioteca(s): |
Embrapa Amazônia Oriental. |
Data corrente: |
24/01/2020 |
Data da última atualização: |
11/05/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
NUNES-SILVA, P.; COSTA, L.; CAMPBELL, A. J.; ARRUDA, H.; CONTRERA, F. A. L.; TEIXEIRA, J. S. G.; GOMES, R. L. C.; PESSIN, G.; PEREIRA, D. S.; SOUZA, P. de; IMPERATRIZ-FONSECA, V. L. |
Afiliação: |
Patrícia NUNES-SILVA, Universidade do Vale do Rio dos Sinos; Luciano COSTA, Instituto Tecnológico Vale; Alistair John CAMPBELL, Instituto Tecnológico Vale; Helder ARRUDA, Instituto Tecnológico Vale; Felipe Andres Leon CONTRERA, UFPA; Juliana Stephanie Galaschi TEIXEIRA, Instituto Tecnológico Vale; Rafael Leandro Corrêa GOMES, UFPA; Gustavo PESSIN, Instituto Tecnológico Vale; DANIEL SANTIAGO PEREIRA, CPATU; Paulo de SOUZA, Data61, CSIRO; Vera Lucia IMPERATRIZ-FONSECA, Instituto Tecnológico Vale. |
Título: |
Radiofrequency identification (RFID) reveals long-distance flight and homing abilities of the stingless bee Melipona fasciculata. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Apidologie, v. 51, n. 2, p. 240-253, Apr. 2020. |
DOI: |
10.1007/s13592-019-00706-8 |
Idioma: |
Inglês |
Conteúdo: |
Determining bee flight capacity is crucial for developing management strategies for bee conservation and/or crop pollination and purposes. In this study, we determined the flight distance of the stingless bee Melipona fasciculata using the radiofrequency identification (RFID) technology. For this, we conducted two translocation experiments using workers equipped with RFID microsensors: (1) release of bees at seven distances between 100 and 3000 m from experimental colonies in Belém, Brazil, and (2) at six distances between 1500 and 10,000 m at Carajás National Forest Reserve. Return rates of workers were negatively correlated to release distance, with typical flight distances of 2 km, but a maximum homing distance of 10 km. Use of RFID tags revealed how past experiments may have greatly underestimated homing abilities of stingless bees. |
Palavras-Chave: |
Abelha sem ferrão; Alcance de voo; Identificação por radiofreqüência; RFID. |
Thesagro: |
Abelha. |
Thesaurus NAL: |
Melipona; Stingless bees. |
Categoria do assunto: |
O Insetos e Entomologia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/212386/1/Nunes-Silva2020-Article-RadiofrequencyIdentificationRF.pdf
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Marc: |
LEADER 01859naa a2200337 a 4500 001 2119307 005 2020-05-11 008 2020 bl uuuu u00u1 u #d 024 7 $a10.1007/s13592-019-00706-8$2DOI 100 1 $aNUNES-SILVA, P. 245 $aRadiofrequency identification (RFID) reveals long-distance flight and homing abilities of the stingless bee Melipona fasciculata.$h[electronic resource] 260 $c2020 520 $aDetermining bee flight capacity is crucial for developing management strategies for bee conservation and/or crop pollination and purposes. In this study, we determined the flight distance of the stingless bee Melipona fasciculata using the radiofrequency identification (RFID) technology. For this, we conducted two translocation experiments using workers equipped with RFID microsensors: (1) release of bees at seven distances between 100 and 3000 m from experimental colonies in Belém, Brazil, and (2) at six distances between 1500 and 10,000 m at Carajás National Forest Reserve. Return rates of workers were negatively correlated to release distance, with typical flight distances of 2 km, but a maximum homing distance of 10 km. Use of RFID tags revealed how past experiments may have greatly underestimated homing abilities of stingless bees. 650 $aMelipona 650 $aStingless bees 650 $aAbelha 653 $aAbelha sem ferrão 653 $aAlcance de voo 653 $aIdentificação por radiofreqüência 653 $aRFID 700 1 $aCOSTA, L. 700 1 $aCAMPBELL, A. J. 700 1 $aARRUDA, H. 700 1 $aCONTRERA, F. A. L. 700 1 $aTEIXEIRA, J. S. G. 700 1 $aGOMES, R. L. C. 700 1 $aPESSIN, G. 700 1 $aPEREIRA, D. S. 700 1 $aSOUZA, P. de 700 1 $aIMPERATRIZ-FONSECA, V. L. 773 $tApidologie$gv. 51, n. 2, p. 240-253, Apr. 2020.
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Embrapa Amazônia Oriental (CPATU) |
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