Most popular articles
Everything About Peaches. Clemson University Cooperative Extension Service Everything About Peaches Website: whether you are a professional or backyard peach...
Mission Statement. For the sake of mankind and the world as a whole a further increase of the sustainability...
Newsletter 9: July 2013 - Temperate Fruits in the Tropics and Subtropics. Download your copy of the Working Group Temperate...
USA Walnut varieties. The Walnut Germplasm Collection of the University of California, Davis (USA). A description of the Collection and a History...
China Walnut varieties.

Articles

A KNOWLEDGEBASE SYSTEM AND A NEURO-COMPUTER SYSTEM FOR AGRICULTURAL INFORMATION PROCESSING

Article number
230_32
Pages
253 – 260
Language
Abstract
We developed an original knowledge-based system (Protaios) and a Neuro-Computing System(NCS). They are for control, management and decision support in agricultural production. Protaios is a kind of conventional expert system shell, and NCS is a "neuro-computing shell" in a word.

Protaios has the function of understanding simple natural English based on the technique of natural language processing.
With this function, rules for knowledgebases can be generated automatically from English documents in literatures and databases.
This function serves for building huge knowledgebase and a kind of common knowledge bank over the wide domain.
Some knowledgebases were developed easily with Protaios.

But the conventional AI methods can not avoid the difficulty to develop advanced control system such as self controlled agri-robots and automatic plant factories because of slow execution time and difficulty of adjusting the weights of uncertainty in rules.
We think the power of neuro-computing solves all these problems, so we developed an original neuro-computing system on a personal computer.
The artificial neural network have many functions such as learning, pattern recognition, association and analogy.
We have applied N C S to the some problems such as pattern recognition of image and time series data, nonlinear multivariate analysis, "neural expert system" and so on, which are difficult for conventional methods.

And we confirmed the ability of the both tools to many problems in agricultural information processing through actual demonstrations.

Publication
Authors
M. Hirafuji, Y. Ono, K. Kobayashi
Keywords
Full text
Online Articles (75)
J. Aitken-Christie | Helen E. Davies
M. Hempel | K. Meszka
Paul N. Walker | C.W. Heuser | P.H. Heinemann
H. Inden | T. Asahira | A. Hirano
K.C. Ting | G.A. Giacomelli | W.J. Roberts
J. Hirvonen | T. Valtonen | H. Ojamo
T. Tibbitts | R. Bula | R. Corey | R. Morrow
S. Sase | H. Ikeda | T. Takezono
A. Ohara | Y. Hirose | T. Sugimoto | K. Kajiyama | T. Yokoyama | H. Kawahira | K. Suzuki
I. Th.H. Gieling | Ing. E. van Os | Dr. A. de Jager
H. Challa | Elly M. Nederhoff | G. P.A. Bot | Nico J. van de Braak
H. Changtai | M. Yufen | L. Jingrei | L. Wei