Development of web-based system for soybean insect pests management

SOYBEAN INSECT PESTS MANAGEMENT SYSTEM


88 / 1

Authors

  • SAVITA KOLHE ICAR-Indian Institute of Soybean Research, Khandwa Road, Indore-452 001, Madhya Pradesh
  • AMAR NATH SHARMA ICAR-Indian Institute of Soybean Research, Khandwa Road, Indore-452 001, Madhya Pradesh

https://doi.org/10.56739/jor.v37i2.136457

Keywords:

Agriculture, Insect identification, Insect Management, Soybean, Web-based System

Abstract

The paper describes the development of a web-based system for identification of soybean insects and their management. It presents the system design, development methodology, functionality and utility of the system. The user interface of the system is developed using ASP.NET and backend using SQL. It is designed using responsive web design so that the users can easily use the system on different devices with variable screen sizes-Desktops, Laptops, iPads, Tablets and Mobile phones. The system is accessible from the institute website https://iisrindore.icar.gov.in. It is very useful for farmers in taking right decision at right time in their fields. The users could identify the insects correctly with the image-based identification interface. The information in Hindi language will help farmers to easily understand the contents. The systemwas evaluated on eight user interface design features on 1-10 point scale. The overall average rating was more than 8 points indicating that most ofthe evaluators were satisfied with the user interface. It served as an effective IT tool for farmers to take appropriate and timely measures to minimize field losses due to insect attack.

Downloads

Download data is not yet available.

References

AICRPS Report 2019. Annual Report 2018-19, All India Coordinated Research Project on Soybean, ICAR-Indian Institute of Soybean Research, Indore, pp. 367.

Annual Report 2019. Annual Report 2018-19, ICAR-Indian Institute of Soybean Research, Indore, pp. 160.

Ángel Cobo, Ignacio Llorente, Ladislao Luna, Manuel Luna 2019. A decision support system for fish farming using particle swarmoptimization. Computers and Electronicsin Agriculture,161: 121-130. DOI: https://doi.org/10.1016/j.compag.2018.03.036

Batchelor W D, McClendon R W, Adams D B and Jones J W 1989. Evaluation of SMARTSOY: An expert system for insect pest management. Agricultural Systems, 31(1): 67-81. DOI: https://doi.org/10.1016/0308-521X(89)90013-9

Bhaskar B, Gardas, Rakesh D, Raut, Naoufel Cheikhrouhou, Balkrishna E and Narkhede 2019. A hybrid decision support system for analyzing challenges of the agricultural supply chain. Sustainable Production and Consumption, 18: 19-32. DOI: https://doi.org/10.1016/j.spc.2018.11.007

Carlos Cambra Baseca, Sandra Sendra, Jaime Lloret and Jesus Tomas 2019. A smart decision system for digital farming. Agronomy, 9: 216. DOI: https://doi.org/10.3390/agronomy9050216

Cirio U, Remotti P C, Santoro C and di Girolamo A 1998. Expert system for diagnosis of olive tree pests and diseases. Phytoma-Espana (Espana), 102: 133-135.

Gonzalez-Andujar J L 2009. Expert system for pests, diseases and weeds identification in olive crops. Expert Systems with Applications, 36(2): 3278-3283. DOI: https://doi.org/10.1016/j.eswa.2008.01.007

Kramers M A, Conijn C G M and Bastiaansen C 1998. EXSYS, an expert system for diagnosing flower bulb diseases, pests and non-parasitic disorders. Agricultural Systems, 58(1): 57-85. DOI: https://doi.org/10.1016/S0308-521X(98)00046-8

Lagos-Ortiz K, Medina-Moreira J, Alarcón-Salvatierra A, Morán M F, del Cioppo-Morstadt J and Valencia-García R 2019. Decision support system for the control and monitoring of crops. In: ICT for Agriculture and Environment, Valencia-García R et al. (Eds.), CITAMA2019, Advances in Intelligent Systems and Computing, 901: 20-28. DOI: https://doi.org/10.1007/978-3-030-10728-4_3

Luckmann W H 1971. The insect-pests of soybean. World Farm, 13(5): 18-22.

Rok Rupnik, Matjaž Kukar, Petar Vra?ar, Domen Košir, Darko Pevec and Zoran Bosni? 2019. Agro DSS: A decision support systemfor agriculture and farming. Computers and Electronics in Agriculture, 161: 260-271. DOI: https://doi.org/10.1016/j.compag.2018.04.001

Saini, Harvinder S, Raj Kamal and Sharma A N 2002. Web-based fuzzy expert systemfor integrated pest management in soybean. International Journal of Information Technology, 8(2): 54-74.

Sharma, Amar Nath 2013. Soybean ke hanikarak keet evam unka samekit prabandhan. Technical Bulletin No. 11, ICAR-Indian Institute of Soybean Research, Indore, pp. 36.

Wang, Airu 1999. An expert systemfor apple and pear diseases and pest insects diagnose. Journal of Agricultural University of Hebei (China), Hebei Nongye Daxue XueBao (China), 22(1): 60-62.

Downloads

Submitted

2023-05-16

Published

2020-07-21

How to Cite

SAVITA KOLHE, & AMAR NATH SHARMA. (2020). Development of web-based system for soybean insect pests management: SOYBEAN INSECT PESTS MANAGEMENT SYSTEM. Journal of Oilseeds Research, 37(2). https://doi.org/10.56739/jor.v37i2.136457