Satellite image processing for precision agriculture and agroindustry using convolutional neural network and genetic algorithm

IOP Conference Series: Earth and Environmental Science

Volumn 54, Issue 1, 2017, Pages

  Firdaus, ^a   Arkeman, Y ^a   Buono, A ^a   Hermadi, I ^a  

^a BOGOR AGRICULTURAL UNIVERSITY   (Indonesia)

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURE; ARTIFICIAL INTELLIGENCE; CARBON DIOXIDE; CONVOLUTION; DECISION MAKING; ENVIRONMENTAL ENGINEERING; FOOD SUPPLY; GENETIC ALGORITHMS; IMAGE PROCESSING; LAND USE; NEURAL NETWORKS; PARETO PRINCIPLE; SATELLITES;

ARTIFICIAL INTELLIGENCE METHODS; CONVOLUTIONAL NEURAL NETWORK; ECONOMIC FACTORS; LAND DEGRADATION; PARETO OPTIMA; PRECISION AGRICULTURE; SATELLITE IMAGE PROCESSING; SUSTAINABLE LAND USE;

SATELLITE IMAGERY;

EID: 85014900115     PISSN: 17551307     EISSN: 17551315     Source Type: Conference Proceeding    
DOI: 10.1088/1755-1315/54/1/012102     Document Type: Conference Paper

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