Soil moisture modeling based on stochastic behavior of forces on a no-till chisel opener

Computers and Electronics in Agriculture

Volumn 121, Issue , 2016, Pages 420-428

  Johann, André L ^a,b   de Araújo, Augusto G ^a   Delalibera, Hevandro C ^a   Hirakawa, André R ^b  

^a Agricultural Research Institute of Paraná State IAPAR   (Brazil)

^b UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

Computational models; Force sensors; Precision agriculture; Soft computing; Soil physics

Indexed keywords

AGRICULTURE; AUTOMATION; COMPUTATION THEORY; COMPUTATIONAL METHODS; CONSUMER BEHAVIOR; CROPS; DATA FLOW ANALYSIS; ERRORS; ESTIMATION; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; LINEAR REGRESSION; MACHINERY; MEAN SQUARE ERROR; MOISTURE; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; SOFT COMPUTING; SOIL MECHANICS; SOIL MOISTURE; SOILS; STOCHASTIC SYSTEMS; TOOLS;

COMPUTATIONAL MODEL; DETERMINATION COEFFICIENTS; FORCE SENSOR; MULTIPLE LINEAR REGRESSION MODELS; PRECISION AGRICULTURE; RADIAL BASIS FUNCTION(RBF); SOIL PHYSICS; TEMPORAL AND SPATIAL VARIABILITY;

SOIL SURVEYS;

ARTIFICIAL NEURAL NETWORK; AUTOMATION; COMPUTER SIMULATION; CONTROL SYSTEM; CROP YIELD; EQUIPMENT COMPONENT; FEASIBILITY STUDY; INSTRUMENTATION; PERFORMANCE ASSESSMENT; PRECISION AGRICULTURE; SENSOR; SOIL ANALYSIS; SOIL MOISTURE; STOCHASTICITY; ZERO TILLAGE;

EID: 84954494280     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2015.12.020     Document Type: Article

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