• Vijay Kumar Dua ICAR-Central Potato Research Institute, Shimla
  • Islam Ahmad CPRIC, Modipuram
  • Shashi Rawat ICAR-CPRI, Shimla
  • S S Lal ICAR-CPRI, Shimla
  • P M Govindakrishnan ICAR-CPRI, Shimla


Decision support system, potato, weed control


Weeds may reduce the potato tuber yield by up to 80%. Timely weed management is thus necessary to keep the weeds population below the economic threshold. A web based decision support system (DSS) ‘Potato Weed Manager’ has been developed for effective weed management in potato crop in India.  The DSS provides the information on appropriate weed control method based upon the weed flora and the growth stage of the crop. The Potato Weed Manager is developed in C# and “ASP.Net†programming language to easy identification of the weeds and their possible controls. Potato crop is mostly grown in plains and hills, therefore, we considered all primary and secondary weeds of potato crop of these areas. The photographs showing the maximum features of the plant identification are stored in the “MySQL†database. The facility of selection of one primary and as many as secondary weeds available in the potato crop is provided.  The recommendations of physical and chemical mode of weed control are suggested based upon the age of the potato crop and weeds population in the potato crop.


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Author Biographies

Vijay Kumar Dua, ICAR-Central Potato Research Institute, Shimla

PS and Head, Crop Production

Islam Ahmad, CPRIC, Modipuram

Chief Technical Officer

Shashi Rawat, ICAR-CPRI, Shimla

Sr Scientist

S S Lal, ICAR-CPRI, Shimla

Former Head, Crop Production

P M Govindakrishnan, ICAR-CPRI, Shimla

PC (Potato)



How to Cite

Dua, V. K., Ahmad, I., Rawat, S., Lal, S. S., & Govindakrishnan, P. M. (2016). WEB-BASED POTATO WEED MANAGER. Potato Journal, 43(1). Retrieved from https://epubs.icar.org.in/index.php/PotatoJ/article/view/54004