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and Integrated Pest Management - part - usaid

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6G PESI1CIDE MANAGEMENT AND 1PM INSOUl]L EAST ASIA<br />

can communicate directly with one another over vast distances. Unlike the<br />

telephone, electronic mail does not require the simultaneous presence of the<br />

sender <strong>and</strong> recipient <strong>and</strong> is thus excellent for conveying messages. In addition, it<br />

can also store large numbers of text databases, like pest profiles <strong>and</strong> pesticide<br />

information (Welch 1984). With hardware costs dropping rapidly, such a system<br />

may become more acceptable in de Southeast Asian region.<br />

VIDEOTEX The videotex system enables users to obtairn frames of information<br />

through the ordinary telephone. These frames may be viewed through the<br />

ordinary television, recorded onto cassette tapes using a normal tape recorder or<br />

printed out using a thermal or dot matrix printer. In Britain, the PRESTEL<br />

system carries more than 4,000 frames of agricultural information, principally<br />

pest <strong>and</strong> disease intelligence reports (Houseman 1982). In addition, there are<br />

frames of agricultural advisory information, such as pest control measures.<br />

In Malaysia, videotex systems are available for corporate <strong>and</strong> public use.<br />

Mere research is necessary to fully utilize such systems for extension purposes.<br />

EXPERT SYSTEMS A potentially useful means of delivering pest<br />

management information is the use of expert systen.s (Heong 1985, Heong &<br />

Kenmore 1986). These are computer programs that offer solutions by<br />

mimicking human reasoning processes (heuristics), employing a :nowledge base<br />

of applications extracted from human experts (Waterman 1986). Examples of<br />

these applications in pest management are in the areas of diagnostics, simulation<br />

delivery <strong>and</strong> decision support. Examples of diagnostic systems are SYSTEX<br />

(Systematics Expert System) in Texas which identifies insect species (Stone et<br />

al. 1986) <strong>and</strong> PLANT/ds in Illinois, which diagnoses soybean diseases<br />

(Michalski et al. 1983). As a simulation delivery system, the expert system acts<br />

as the delivery shell for models, accessing the models when appropriate to<br />

analyze problems. An example is an expert system for making<br />

recommendations for the control of the velvetbean caterpillar (VBC) of soybean<br />

in Florida (Jones et al. 1985). For decision support, the model is run outside the<br />

expert system <strong>and</strong> the output is transferred back as updates. FLEX (Farm Level<br />

Expert System) for cotton production in Texas is one such system (Stone et al.<br />

1986). The expert system can also be made available to the extension worker<br />

<strong>and</strong> farmers through videotex as in the WHEAT COUNSELLOR in Engl<strong>and</strong>,<br />

which diagnoses <strong>and</strong> advises on wheat disease control (Jones & Crates 1986).<br />

With the development of microcomputer-based expert system shell<br />

programs, it is becoming easier for pest management experts to build expert<br />

systems. Such programs are portable <strong>and</strong> can form <strong>part</strong> of the regional DBMS<br />

in the surveillance system. Expert system research is now being actively<br />

pursued in Texas A&M, the University of Florida, <strong>and</strong> the Silwood Center for<br />

<strong>Pest</strong> <strong>Management</strong> in Engl<strong>and</strong>. For rice, the potential of employing expert<br />

systems for extension is high <strong>and</strong> should be further investigated.<br />

Regional <strong>Pest</strong> Surveillance Network<br />

There is increasing evidence to show that several important rice pests are<br />

constantly displaced by wind. Downwind flights of the BPH of up to 1,000 km

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