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Microclimate-Based Pest and Disease Management through a Forewarning System for Sustainable Cotton Production

Author

Listed:
  • Bhuvaneswari Madasamy

    (Natioanal Engineering College, Kovilpatti, Tamilnadu 628503, India)

  • Paramasivan Balasubramaniam

    (Natioanal Engineering College, Kovilpatti, Tamilnadu 628503, India)

  • Ritaban Dutta

    (Data61, Commonwealth Scientific and Industrial Research Organisation, Hobart 7001, Australia)

Abstract

Cotton is an essential commercial crop. Unfortunately, this crop is affected by many pests and diseases, which can cause considerable loss in yield. Climate has a strong correlation with the occurrence of pests and diseases in crops. Currently, weather forecasting services are available to the farmers, which help with weather-based planning of farm operations. Still, weather-based pest and disease forewarning services are not available to all the farmers. Unfortunately, cotton cultivation consumes about one-third of total pesticide consumption, which increases the cost of production apart from polluting the environment. An information and communication technology (ICT) based intelligent pest and disease forewarning system for cotton is an innovative system for providing forewarning on pests and diseases. It aims at improving farm productivity through better crop management. In this paper, the proposed method aims to predict the occurrence of pests and diseases based on microclimatic parameters. This pest and disease forewarning information and appropriate crop management practices will be disseminated to the farmers using electronic media through short message service (SMS), the Internet, etc. In this way, both livelihood security and environmental security are achieved. The proposed model shows a higher optimal performance then the two related works in terms of the average root mean square error rate, average accuracy rate, average percentage error rate, and prediction accuracy.

Suggested Citation

  • Bhuvaneswari Madasamy & Paramasivan Balasubramaniam & Ritaban Dutta, 2020. "Microclimate-Based Pest and Disease Management through a Forewarning System for Sustainable Cotton Production," Agriculture, MDPI, vol. 10(12), pages 1-12, December.
  • Handle: RePEc:gam:jagris:v:10:y:2020:i:12:p:641-:d:463582
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    Citations

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    Cited by:

    1. Lantong Shao & Jiaqin Gong & Wenqing Fan & Zongyi Zhang & Meng Zhang, 2022. "Cost Comparison between Digital Management and Traditional Management of Cotton Fields—Evidence from Cotton Fields in Xinjiang, China," Agriculture, MDPI, vol. 12(8), pages 1-18, July.
    2. Yanan Zuo & Fengxiang Jin & Min Ji & Zhenjin Li & Jiutao Yang, 2023. "Disaster Risk Regionalization and Prediction of Corn Thrips Combined with Cloud Model: A Case Study of Shandong Province, China," Land, MDPI, vol. 12(3), pages 1-20, March.

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