Record Details

An expert system for identification of nutrients deficiency/disorder and their management advisories in Mango (Mangifera indica, L.)

KRISHI: Publication and Data Inventory Repository

View Archive Info
 
 
Field Value
 
Title An expert system for identification of nutrients deficiency/disorder and their management advisories in Mango (Mangifera indica, L.)
Not Available
 
Creator H.C. Verma , T.Adak and K. Kumar
 
Subject Expert system, Mango, Nutrient
 
Description Not Available
When a nutrient deficiency/disorder symptom starts to become visible in a commercial crop, an accurate
identification is necessary to support its scientific management/control. In some cases diagnosis is easy
and orchardist can easily identify however in others, it needs expert opinion. Diagnosing nutrients
disorder and deficiency symptoms in mango requires substantial expertise. The expertise of an expert in
a particular domain is not generally available on demand. It is also difficult to retain expertise. Therefore,
to make expertise more easily accessible to the mango orchardists and retain it, expert system software
on nutrients disorder/deficiency in mango has been developed. Out of several nutrients viz., potassium,
boron, manganese, zinc and copper, etc., are reported to be in short supply for optimum plant growth
and productivity of mango in India. The expert system is developed by using forward chaining method
of reasoning to reach the conclusion. The system is developed using programming language instead of
using costly expert system shell software. After diagnosing the deficiency or disorder symptoms, the
system advises the scientific management options. Therefore, this expert system will compliment the
human expert in advisory on management aspect of nutrients deficiency/disorder. This expert system is
menu based user friendly software that starts diagnosis from a question-answer based session and reconfirmation of symptoms based on visual symptoms of affected images. This reconfirmation session
based on visual symptoms of affected part of plant ensures high level of diagnosis accuracy
Not Available
 
Date 2021-08-13T05:53:39Z
2021-08-13T05:53:39Z
2018
 
Type Research Paper
 
Identifier 3. Verma HC, Adak T and Kumar K. (2018). An expert system for identification of nutrients deficiency/disorder and their management advisories in Mango (Mangifera indica, L.), Indian Journal of Agricultural Physics, Vol 18(1):pp74-81
0973-032X
http://krishi.icar.gov.in/jspui/handle/123456789/56217
 
Language English
 
Relation Not Available;
 
Publisher Indian Society of AgroPhysics