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Systems and methods for pest forecasting using historical pesticide usage information

A pest, prediction model technology, applied in the fields of botanical equipment and methods, prediction, application, etc., can solve problems such as difficulty in collecting data, and achieve efficient time and cost-effectiveness, both time and cost-effective effect.

Active Publication Date: 2018-01-19
TATA CONSULTANCY SERVICES LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For predictive model generation in the field or at specific sites, it becomes very difficult to collect such a large amount of data from each of these sites

Method used

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  • Systems and methods for pest forecasting using historical pesticide usage information
  • Systems and methods for pest forecasting using historical pesticide usage information
  • Systems and methods for pest forecasting using historical pesticide usage information

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Embodiment Construction

[0024] Exemplary embodiments will be described with reference to the drawings. In the figures, the left-most digit(s) in a reference number indicates the figure in which the reference number first appears. For convenience, the same reference numbers will be used throughout the drawings to refer to the same or like parts. While examples and features of the disclosed principles have been described herein, alterations, modifications, and other implementations can be made without departing from the spirit and scope of the disclosed embodiments. The following detailed description is to be considered exemplary only, with a true scope and spirit being indicated by the appended claims.

[0025] Before proceeding to the detailed description, it should be noted that all discussions that follow, regardless of the particular embodiments described, are exemplary in nature and not restrictive.

[0026] Generating an ecological model like a pest or disease prediction model requires ground ...

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Abstract

Traditionally, forecasting models were developed using pest or disease instances collected through pest or disease surveillance. The present disclosure relates to pest forecasting using historical pesticide usage information thereby obviating need for voluminous and time consuming effort of collecting site specific data. Firstly forecasting models for different pests or diseases of different cropsare generated based on historical data on pesticide usage and historical weather data collected for a geo-location under consideration. The model is validated and adapted with the current scenario ofpests. Current scenario is captured using image samples sent from the field or farm through participatory sensing platform. The images are then analyzed to extract information like actual pest infestation in the field, severity, if there was infestation and the like. This analyses helps to derive the actual pest infestation instances in the field.

Description

[0001] priority statement [0002] This application claims priority from Indian Application No. 201621023796 filed on 12 July 2016. The entire content of the above application is incorporated herein by reference. technical field [0003] Embodiments herein relate generally to pest management, and more specifically to systems and methods for pest prediction using historical pesticide use information. Background technique [0004] Agriculture plays an important role in sustaining and enhancing human life. Therefore, a lot of research has been done on ecological prediction in the field of agriculture for predicting pests, disease infestation instances, pest severity and disease severity. Typically, predictive model generation or model training is performed relying on surveillance data collected about pest or disease infection instances. Therefore, a large amount of pest or disease occurrence data is required to build reliable models. Gathering this data through monitoring m...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/02G06N20/00
CPCA01N25/00G06Q10/04G06Q50/02G06N20/00G06F30/20G06F17/11G06F17/18
Inventor S·比斯瓦斯J·莫希特S·帕普拉
Owner TATA CONSULTANCY SERVICES LTD
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