NDLI: New agroclimatic digital images classification system and risk zone mapping

Content Provider	IEEE Xplore Digital Library
Author	Pugsley, L. Cruvinel, P.E. Caramori, P.H.
Copyright Year	2001
Description	Author affiliation: Dept. of Comput., Univ. Fed. de Sao Carlos, Brazil (Pugsley, L.)
Abstract	This paper presents a methodology to support farm decision-making by characterizing regional potential and climatic risks involved during agricultural crop cycles. It introduces agricultural zoning based on a system that classifies digital images of agroclimatic indices. The methodology uses as a first step analysis and processing of climatic data from weather stations through GIS tools. These results are interpolated to generate images of several limiting parameters of agricultural crops. In the second step, these images are segmented using techniques, such as regional growing segmentation by pixel aggregation and regional split/merging segmentation. By using the resulting description of characteristics, the system allows linking the region to recorded geodesic data, generating geo-referenced maps for data storage, information overlay, derivative maps generation, and vector analyses of risk factors necessary in each image. The system generates a matrix of results corresponding to a single image of pseudo-regions. These regions are merged into larger similar regions, following theoretical decision methods. As the result, the system makes it possible to generate maps containing homogeneous zones with optimized planting dates.
Sponsorship	Brazilian Comput. Soc.(SBC)
Starting Page	237
Ending Page	244
File Size	514466
Page Count	8
File Format	PDF
ISBN	0769513301
DOI	10.1109/SIBGRAPI.2001.963061
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-10-15
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Digital images Image segmentation Crops Image generation Character generation Decision making Geographic Information Systems Pixel Merging Joining processes
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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