Image processing based real-time variable-rate chemical spraying system for disease control in paddy crop
The agrochemical application with conventional sprayers results in wastage of applied chemicals, which not only increases the economic losses but also pollutes the environment. In order to overcome these drawbacks, an image processing based real-time variable-rate chemical spraying system was develo...
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Format: | Article |
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KeAi Communications Co., Ltd.
2020-01-01
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Series: | Artificial Intelligence in Agriculture |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S258972172030009X |
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author | V.K. Tewari C.M. Pareek Gurdeep Lal L.K. Dhruw Naseeb Singh |
author_facet | V.K. Tewari C.M. Pareek Gurdeep Lal L.K. Dhruw Naseeb Singh |
author_sort | V.K. Tewari |
collection | DOAJ |
description | The agrochemical application with conventional sprayers results in wastage of applied chemicals, which not only increases the economic losses but also pollutes the environment. In order to overcome these drawbacks, an image processing based real-time variable-rate chemical spraying system was developed for the precise application of agrochemicals in diseased paddy crop based on crop disease severity information. The developed system comprised of web cameras for image acquisition, laptop for image processing, microcontroller for controlling the system functioning, and solenoid valve assisted spraying nozzles. The chromatic aberration (CA) based image segmentation method was used to detect the diseased region of paddy plants. The system further calculated the disease severity level of paddy plants, based on which the solenoid valves remained on for a specific time duration so that the required amount of agrochemical could be sprayed on the diseased paddy plants. Field performance of developed sprayer prototype was evaluated in the variable-rate application (VRA) and constant-rate application (CRA) modes. The field testing results showed a minimum 33.88% reduction in applied chemical while operating in the VRA mode as compared with the CRA mode. Hence, the developed system appears promising and could be used extensively to reduce the cost of pest management as well as to control environmental pollution due to such agrochemicals. |
first_indexed | 2024-12-17T01:51:28Z |
format | Article |
id | doaj.art-57ce5a4611bf469e878746ea3e9a9cd5 |
institution | Directory Open Access Journal |
issn | 2589-7217 |
language | English |
last_indexed | 2024-12-17T01:51:28Z |
publishDate | 2020-01-01 |
publisher | KeAi Communications Co., Ltd. |
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series | Artificial Intelligence in Agriculture |
spelling | doaj.art-57ce5a4611bf469e878746ea3e9a9cd52022-12-21T22:08:03ZengKeAi Communications Co., Ltd.Artificial Intelligence in Agriculture2589-72172020-01-0142130Image processing based real-time variable-rate chemical spraying system for disease control in paddy cropV.K. Tewari0C.M. Pareek1Gurdeep Lal2L.K. Dhruw3Naseeb Singh4Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur, West Bengal 721302, IndiaAgricultural and Food Engineering Department, Indian Institute of Technology Kharagpur, West Bengal 721302, India; Corresponding author.Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur, West Bengal 721302, IndiaAgricultural and Food Engineering Department, Indian Institute of Technology Kharagpur, West Bengal 721302, IndiaDivision of Agricultural Engineering, ICAR Research Complex for NEH Region, Umiam, Meghalaya 793103, IndiaThe agrochemical application with conventional sprayers results in wastage of applied chemicals, which not only increases the economic losses but also pollutes the environment. In order to overcome these drawbacks, an image processing based real-time variable-rate chemical spraying system was developed for the precise application of agrochemicals in diseased paddy crop based on crop disease severity information. The developed system comprised of web cameras for image acquisition, laptop for image processing, microcontroller for controlling the system functioning, and solenoid valve assisted spraying nozzles. The chromatic aberration (CA) based image segmentation method was used to detect the diseased region of paddy plants. The system further calculated the disease severity level of paddy plants, based on which the solenoid valves remained on for a specific time duration so that the required amount of agrochemical could be sprayed on the diseased paddy plants. Field performance of developed sprayer prototype was evaluated in the variable-rate application (VRA) and constant-rate application (CRA) modes. The field testing results showed a minimum 33.88% reduction in applied chemical while operating in the VRA mode as compared with the CRA mode. Hence, the developed system appears promising and could be used extensively to reduce the cost of pest management as well as to control environmental pollution due to such agrochemicals.http://www.sciencedirect.com/science/article/pii/S258972172030009XVariable-rate chemical applicationSprayingImage processingMicrocontrollerPlant disease severity |
spellingShingle | V.K. Tewari C.M. Pareek Gurdeep Lal L.K. Dhruw Naseeb Singh Image processing based real-time variable-rate chemical spraying system for disease control in paddy crop Artificial Intelligence in Agriculture Variable-rate chemical application Spraying Image processing Microcontroller Plant disease severity |
title | Image processing based real-time variable-rate chemical spraying system for disease control in paddy crop |
title_full | Image processing based real-time variable-rate chemical spraying system for disease control in paddy crop |
title_fullStr | Image processing based real-time variable-rate chemical spraying system for disease control in paddy crop |
title_full_unstemmed | Image processing based real-time variable-rate chemical spraying system for disease control in paddy crop |
title_short | Image processing based real-time variable-rate chemical spraying system for disease control in paddy crop |
title_sort | image processing based real time variable rate chemical spraying system for disease control in paddy crop |
topic | Variable-rate chemical application Spraying Image processing Microcontroller Plant disease severity |
url | http://www.sciencedirect.com/science/article/pii/S258972172030009X |
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