Articles
Artificial intelligence based mobile application BIPM ON tomato pinworm Phthorimaea absoluta
Article number
1382_3
Pages
17 – 24
Language
English
Abstract
Tomato is an important vegetable crop growing all over the world.
The South American tomato pinworm, Phthorimaea absoluta Meyrick, 1917 (Gelechiidae: Lepidoptera) is a devastating pest of tomato.
The larval stage of P. absoluta causes damage by mining leaves and burrow into fruits and feed on the inner contents.
The severe infestation of this pest cause 100% yield loss.
In addition to P. absoluta, tomato is damaged by Liriomyza trifolii, Helicoverpa armigera and Spodopera litura. The mining patterns of leaves helps to identify whether the pest infestation is due to L. trifolii or due to P. absoluta. Similarly, the hole pattern on developing fruits helps to differentiate whether the pest infestation is due to H. armigera or due to P. absoluta. Though farmers avail the services from pest management experts, the ICT tool like mobile application will be very handy to use.
A mobile application is a novel ICT application designed to run on a mobile device such as phone, tablet which helps to disseminate the knowledge in an easy and fast manner.
In view of this, the Mobile application, named as BIPM ON tomato pinworm Phthorimaea absoluta, has been developed for both knowledge dissemination of bio-intensive pest management (BIPM) and also for pest identification in the field by using artificial intelligence techniques.
The diagnostic features of Phthorimaea absoluta and the damaging patterns in the field are stored in the computer expert system located at ICAR-National Bureau of Agricultural Insect Resources, Bengaluru, India.
The expert system contains the image data set of 250 images of different category like damage symptoms, different stages of the pests, etc.
Artificial intelligence (AI) based machine learning algorithms used in this Mobile app to identify whether the pest infestation is due to Phthorimaea absoluta or by any other pest in tomato field.
Hence, this mobile app BIPM ON tomato pinworm Phthorimaea absoluta can act as a handy tool to identify the pest exactly in the field, so that farmers can take up the appropriate control measures in time.
This mobile app is available online at https://mobileapptuta.nbair.res.in
The South American tomato pinworm, Phthorimaea absoluta Meyrick, 1917 (Gelechiidae: Lepidoptera) is a devastating pest of tomato.
The larval stage of P. absoluta causes damage by mining leaves and burrow into fruits and feed on the inner contents.
The severe infestation of this pest cause 100% yield loss.
In addition to P. absoluta, tomato is damaged by Liriomyza trifolii, Helicoverpa armigera and Spodopera litura. The mining patterns of leaves helps to identify whether the pest infestation is due to L. trifolii or due to P. absoluta. Similarly, the hole pattern on developing fruits helps to differentiate whether the pest infestation is due to H. armigera or due to P. absoluta. Though farmers avail the services from pest management experts, the ICT tool like mobile application will be very handy to use.
A mobile application is a novel ICT application designed to run on a mobile device such as phone, tablet which helps to disseminate the knowledge in an easy and fast manner.
In view of this, the Mobile application, named as BIPM ON tomato pinworm Phthorimaea absoluta, has been developed for both knowledge dissemination of bio-intensive pest management (BIPM) and also for pest identification in the field by using artificial intelligence techniques.
The diagnostic features of Phthorimaea absoluta and the damaging patterns in the field are stored in the computer expert system located at ICAR-National Bureau of Agricultural Insect Resources, Bengaluru, India.
The expert system contains the image data set of 250 images of different category like damage symptoms, different stages of the pests, etc.
Artificial intelligence (AI) based machine learning algorithms used in this Mobile app to identify whether the pest infestation is due to Phthorimaea absoluta or by any other pest in tomato field.
Hence, this mobile app BIPM ON tomato pinworm Phthorimaea absoluta can act as a handy tool to identify the pest exactly in the field, so that farmers can take up the appropriate control measures in time.
This mobile app is available online at https://mobileapptuta.nbair.res.in
Authors
M. Pratheepa, K. Subaharan, R. Varshney, T. Venkatesan, S.N. Sushil
Keywords
tomato pinworm, pest identification, artificial intelligence, machine learning, Phthorimaea absoluta, mobile application, expert system
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