Novel Real-Time Video Surveillance Framework for Precision Pesticide Control in Agribusiness

Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 801)

Abstract

Agribusiness has turned out to be considerably more than just a method to bolster consistently developing populaces. Plants have progressed toward becoming an imperative wellspring of vitality, and are a basic piece in the puzzle to take care of the issue of an unnatural climatic change. The economic changes of the mid 1990s set the phase for an improved and developing part by the private area of agriculture. Economic development quickened, especially after 2000, with major modernizing impacts on agriculture, cultivating and agri-food esteem chains [1]. Private agribusiness organizations are at the front line of overwhelming interest in agricultural R&D and mechanical development [2]. To improvise and expand agribusiness, one of the step is to control the pests on growing plants. We are proposing a framework for controlling pests on the growing plants of tomato in agribusiness using Real-Time Video Surveillance and image processing technique. In the proposed work, video is captured, converted to suitable color models, and pre-processed. From the obtained video, pests are quantified. Pesticides can be sprayed on the plants of tomato for controlling pests and improve yield in agribusiness.

Keywords

Begomoviruses in whitefly Video processing technique Automated tests management Image analysis Object detection Object segmentation Object extraction 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Jyothy Institute of TechnologyBangaloreIndia

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