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, 2020
Crop residue burning is a major issue in farmers’ fields of Indo-Gangetic Plain and Central India. It emits air pollutants and GHGs into the atmosphere, adversely affects soil, crop yields, human health and the environment.
C. Chethan +6 more
semanticscholar +1 more source
Crop residue burning is a major issue in farmers’ fields of Indo-Gangetic Plain and Central India. It emits air pollutants and GHGs into the atmosphere, adversely affects soil, crop yields, human health and the environment.
C. Chethan +6 more
semanticscholar +1 more source
Acta Agriculturae Scandinavica - Section B, 2020
The aim of the study was to verify the hypothesis that intercropping of soybean with buckwheat will positively affect yielding parameters and nutritional value of soybean seed.
Wojciech Biszczak +2 more
semanticscholar +1 more source
The aim of the study was to verify the hypothesis that intercropping of soybean with buckwheat will positively affect yielding parameters and nutritional value of soybean seed.
Wojciech Biszczak +2 more
semanticscholar +1 more source
The Prediction of Weed Infestations: Concepts and Approaches
EPPO Bulletin, 1984The role of studies on the population biology of weed species is examined and the utility of such studies in the design of weed management systems assessed. It is argued that the development of predictive models of the population behaviour of weed species is likely to be crucial to the critical evaluation of weed control programmes in the future ...
A.M. Mortimer, P.D. Putwain
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Weed Infestation in Turmeric in Okinawa, Japan
Weed Technology, 2008A field experiment was conducted in Okinawa, Japan from 2005 to 2007 to evaluate the effect of purple nutsedge and other weeds on turmeric growth and yield and determine the effective weed-control period to minimize crop interference. Treatments consisted of all weeds removed at 70, 115, and 160 d sequentially after planting (DAP), all weeds except ...
Md. Amzad Hossain +3 more
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Risk prediction for weed infestation using classification rules
2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC), 2009This paper proposes a fuzzy classification system for the risk of infestation by weeds in agricultural zones considering the variability of weeds. The inputs of the system are features of the infestation extracted from estimated maps by kriging for the weed seed production and weed coverage, and from the competitiveness, inferred from narrow and broad ...
Gláucia M. Bressan +2 more
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Infestation and spatial dependence of weed seedling and mature weed populations in corn
Weed Science, 2002Abstract Knowing the distribution of weed seedlings in farmer-managed fields could help researchers develop reliable distribution maps for site-specific weed management. With a knowledge of the spatial arrangement of a weed population, cost effective sampling programs and management strategies can be designed, so inputs can be selected and applied to ...
Dawn Y. Wyse-Pester +2 more
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CONTROL OF MIXED WEED INFESTATION IN WINTER WHEAT [PDF]
, 2021 During 2016-2017 and 2017-2018 a field trial with winter wheat variety “Enola” was performed. The experiment was situated on the experimental field of the Agricultural University of Plovdiv, Bulgaria. Herbicide products with mixed mode of action were evaluated - Osprey Extra, Atlantis WG, Abak and Atlantis Flex. The application of Atlantis WG – 0.50 kg
YANEV, Mariyan +3 more
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Weed mapping technologies in discerning and managing weed infestation levels of farming systems
Research on Crops, 2020The advent of robust sensing technologies in remote and proximal sensing systems has led to the generation of accurate weed maps thus enabling precise weed management (PWM). The data from the weed maps are crucial input for crop-weed discriminating algorithms and also decision support models that quantify the risk posed by the weeds on the fields.
John K.N. +5 more
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Estimation of weed infestation in spring crops using MODIS data
IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004Spring crops are a monoculture in Northern Kazakhstan. Mid-resolution satellite data of red and near infrared spectral bands from Terra's MODIS satellite can be used for assessment of regional land use. The objective of this research was the analysis of weed infestation in spring grain crops.
Umirzak Sultangazin +3 more
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Monitoring of crop rotation and weed infestation estimation using MODIS
IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004, 2004This research was conducted to develop the method of weed infestation assessment in the predominantly wheat areas in Northern Kazakhstan. Standard classification procedures were not applicable to separate the weed population, therefore indirect methods were investigated.
Umirzak Sultangazin +3 more
openaire +1 more source