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A System Based On Interval Fuzzy Approach To Predict The Appearance Of Pests In Agriculture

Leonardo Martins Rodrigues, G. Dimuro, D. T. Franco, J. Fachinello
Published 2013 · Environmental Science, Computer Science

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Precision Agriculture is becoming an unavoidable approach for farmers aiming to improve their businesses. Technologies that were once used only by urban companies are being used in agriculture in order to maximize their production, reducing the costs. In this sense, this work proposes to apply environmental sensing technologies to assist farmers to detect the probability of occurrence (or proliferation) of pests in their culture. For that, the Arduino platform, in combination with adequate sensors to capture climatic conditions in a given region, is used. We apply an approach based on Interval Fuzzy Logic for the assessment of the sensing data to report if the weather conditions are favorable for the emergence of pests, especially fungi, which depend on factors such as temperature, humidity and leaf wetness. A discussion about an experiment performed to test the developed system is presented. The experiment is based on a common disease encountered, mainly, in the southern region of the state of Rio Grande do Sul, in Brazil. The disease, called Brown Rot, is caused by a fungus known as Monilinia fructicola.
This paper references
On Interval Fuzzy Numbers
G. Dimuro (2011)
Is there a need for fuzzy logic?
L. Zadeh (2008)
Interval Additive Generators of Interval T-Norms
G. Dimuro (2008)
A novel access control protocol for secure sensor networks
Hui-Feng Huang (2009)
The concept of a linguistic variable and its application to approximate reasoning - I
L. Zadeh (1975)
On interval fuzzy S-implications
Benjamín R. C. Bedregal (2010)
On interval fuzzy Simplications
G. P. Dimuro (2006)
The best interval representations of t-norms and automorphisms
Benjamín R. C. Bedregal (2006)
and R
B. C. Bedregal (2010)
Introduction to Interval Analysis
R. E. Moore (2009)
A first course in fuzzy logic
H. T. Nguyen (1996)
Oct) TinyGPS: A compact Arduino GPS/NMEA parser
M. Hart (2012)
and R
G. P. Dimuro (2011)
Fuzzy Membership Mapped onto Intervals and Many-Valued Quantities
I. Grattan-Guinness (1976)
Dec) A importância da fitopatologia
C. F. Fernandes (2005)
An energy efficient and delay sensitive centralized MAC protocol for wireless sensor networks
C. Ceken (2008)
and A
S.A.C. Cavalheiro (2011)
I and i
K. Barraclough (2001)
Produção integrada de pêssegos: três anos de experiência na região de Pelotas - RS
J. Fachinello (2003)
Methods and applications of interval analysis
R. E. Moore (1979)
Fruteiras de Caroço: Uma Visão Ecológica
L. B. Monteiro (2004)
Fuzzy Sets
L. Zadeh (1965)
Advances in type-2 fuzzy sets and systems
J. Mendel (2007)
Sep) Temperature and relative humidity sensor module user’s guide
Sure Eletronics Team (2009)
Jan) Extra packages for GNU Octave
Octave Forge (2013)
Resistência à podridão parda em pessegueiro
Juliano Rodrigues dos Santos (2012)
The concept of a linguistic variable and its application to approximate reasoning-III
L. Zadeh (1975)
A survey on sensor networks
I. Akyildiz (2002)
A survey on sensors networks
C. F. Fernandes. (2002)
and E
I. F. Akyildiz (2002)
G. Agrios (1996)
Temperature and relative humidity sensor module user ’ s guide
M SkyLab

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