Decision support systems (DSS) in weeds management

Subject Areas : Weed Research Journal

Mojtaba Hosseini ¹ , Mehdi Mojab ² , mehdi nassiri mahallati ³

1 - Department of Agrotechnology, Ferdowsi University of Mashhad, Iran
2 - Lecturer, Department of Agricultural Science, Payame Noor University, Iran
3 - Department of Agrotechnology, Agriculture faculty, Ferdowsi University of Mashhad

Received: 2019-11-30 Accepted : 2022-08-12 Published : 2022-08-23

Keywords: herbicide, Decision support system, Weeds Managment, Bioeconomic model,

Abstract :

gricultural technology is constantly changing farm management strategies as farmers are facing with many new cultivars and pesticides and making proper efficient decision s difficult in the recent years. DSS models have been used in agriculture as decision-making tools since 1980s. Weed-related DSS have generally fallen in to one of two broad categories: Those that make recommendations based on herbicide efficacy or weed identification and those that consider the weed seedbank or weed seedling density and make recommendations based on economic benefit. More advanced systems that considers both weed copetition and weed population dynamics in regards to herbicide dose selection. The objectives of decision support systems are to produce adequate weed control recommendations resulting in a reduction in herbicide use, environmental risk, and lower weed management costs. Several program such as HERB, MUS-HERB, WEEDSIM, SELOMA, Herbicide Application Decision Support System (HADSS), Pocket HERB, WebHADSS, Weedsoft, Weed Manager, GESTINF, AVENA-PC, Expert system, Pl@ntInfo and RIM (Ryegrass Integrated Management) so were used in weed management. It is expected that DSS application increased in the near future.