PestPredict-RBS (Vol. 2.0)


1.0 par ICAR-NCIPM, New Delhi
Oct 15, 2019

À propos de PestPredict-RBS (Vol. 2.0)

PestPredict-RBS (Vol. 2.0)

Models have been coded as Mobile apps (android based) to serve as handy tools for issue of “pest alerts’ within the framework of ‘integrated pest management’ to take informed and instant decisions on status and management of pests on target crops.

Forewarning of major rice pests for seven locations viz., Ludhiana (Punjab), Chinsurah (West Bengal), Raipur (Chhattisgarh), Karjat (Maharashtra), Kampasagar (Telangana), Mandya (Karnataka) and Aduthurai (Tamil Nadu), severity of Spodoptera litura on groundnut at Dharwad (Karnataka), Kadiri (AP) and Junagadh (GJ) and early blight of tomato at Bengaluru (Karnataka) have been developed and tested for use at field level. Predictions on pest severity were based on light trap catches for rice insect pests, pheromone trap catches of Spodoptera on groundnut and early blight & target spot severity on tomato. Named as Pestpredict-RBS (rule-based system), the mobile app requires the values of weather variables of the current week to be input for the desired location of prediction so as to know the severity levels of selected insect pest/disease for the coming week.

Informations Application supplémentaires

Dernière version

1.0

Telechargé par

Siddhartha Syangtan

Nécessite Android

Android 4.1+

Available on

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