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Vol. 11, Special Issue 5 (2022)

Weed control options in cotton as influenced by various detection techniques

Author(s):
Kishore Kumar P, Veeramani A, Prema P, Kannan P, Subramanian E and Thamizh Vendan R
Abstract:
A field experiment was conducted in Agricultural college and Research institute, Madurai during 2019-2020 to study weed control options in cotton as influenced by various weed detection techniques. Experiment design is Split plot and replicated thrice. Treatments tested were, three weed detection techniques viz. Manual method (M1), Image detection with manually operated camera (M2) and Image detection with drone camera (Heli-cam) (M3) as main plot treatments combined with eight weed management practices as sub plot treatments. Experiment results obtained, concludes that detection of weeds through Image detection with drone camera (M3) with the application of 75% dosage of Quizalofop ethyl 50 g a.i ha-1 + Pyrithiobac Sodium 62.5 g a.i ha-1 at 15 DAS as early post emergence followed by post emergence application of Fluazifop butyl 140 g a.i ha-1 + Fenoxaprop ethyl40 g a.i. ha-1 at 40 DAS proves to be a best weed control option by reducing herbicide dosage and cost incurred.
Pages: 486-490  |  348 Views  123 Downloads
How to cite this article:
Kishore Kumar P, Veeramani A, Prema P, Kannan P, Subramanian E and Thamizh Vendan R. Weed control options in cotton as influenced by various detection techniques. The Pharma Innovation Journal. 2022; 11(5S): 486-490.

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