Results 61 to 70 of about 408,423 (401)

ALLELOPATHIC INFLUENCE OF AQUATIC WEEDS ON AGRO-ECOSYSTEMS: A REVIEW [PDF]

Planta Daninha, 2017
Aquatic weeds are higher plants found in the aquatic ecosystem and in anaerobic rice fields, where they have no economic benefits. The continuance of aquatic weeds is more widespread than terrestrial weeds because in aquatic ecosystems there is very ...
T. ABBAS, M.A. NADEEM, A. TANVEER, S. SYED, A. ZOHAIB, N. FAROOQ, M.A. SHEHZAD   +6 more
doaj   +2 more sources

Brewer’s Spent Grain with Yeast Amendment Shows Potential for Anaerobic Soil Disinfestation of Weeds and Pythium irregulare [PDF]

, 2023
Danyang Liu, Jayesh B. Samtani, Charles S. Johnson, Xuemei Zhang, David M. Butler, Jeffrey F. Derr   +5 more
openalex   +1 more source

How Competitive Is Myanmar's Rice Sector? A Comparison of Production Costs and Efficiency

Agribusiness, EarlyView.
ABSTRACT This paper analyzes the cost competitiveness of rice production in Myanmar by examining production costs, cost efficiency, and the potential effect of improving cost efficiency on the country's global competitiveness. To achieve this, we conduct a comparative analysis of production costs among major rice‐producing countries and estimate the ...
Nandar Aye Chan, Orkhan Sariyev, Mohammad Ariful Islam, Manfred Zeller   +3 more
wiley   +1 more source

Efficacy of Maister OD (Foramsulfuron + Idosulfuron) a New Herbicide in Controlling Weeds of Corn Fields [PDF]

Ikufīziyuluzhī-i Giyāhān-i Zirā̒ī, 2012
To evaluate the efficacy of a new herbicide Foramsulfuron +Idosulfuron (Maister OD) against other herbicides in corn fields, this experiment was fulfielld in 2010 at Mahidasht, Research Center of Agriculture and Natural Resources of Kermanshah, Iran.
J. Abdi, M.A. Bagestani, A. Khorgami, P. Sabeti   +3 more
doaj  

Charting the Path to Increased Oil Palm Output in Ghana Beyond Area Expansion: Technology or Managerial Capacity — Which Leads the Way?

Agribusiness, EarlyView.
ABSTRACT This study sets out to investigate the prospects for raising oil palm output in sub‐Saharan Africa, particularly Ghana, without further expansion of cropland. Given global concerns about oil palm's role in deforestation and land use change, the focus is on enhancing productivity on existing farmlands.
Jacob Asravor, Francis Tsiboe, Ayobami Adetoyinbo, Jacob Ankamah   +3 more
wiley   +1 more source

Lawn Weeds in Alaska [PDF]

, 1963
Many different kinds of plants usually grow in close association with each other in nature. Woodlands, roadsides, mountain slopes, marshlands-almost all places not closely attended by man have their own complex plant associations.
Klebesadel, L.J.
core  

Is The Television Licence fee fit for Purpose in the Digital Era? [PDF]

, 2016
In the context of the UK's ongoing review of the BBC's Royal Charter, this article discusses the future of the television licence fee. As channels proliferate and new ways of watching television take hold, there is increasing pressure on the TV licence ...
Weeds, Helen
core   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source

Networks, Options and Preemption. [PDF]

This paper examines the irreversible adoption of a technology whose returns are uncertain, when there is an advantage to being the first adopter, but a network advantage to adopting when others also do so.
Mason, R., Weeds, H.
core   +3 more sources

Protein sequence classification using natural language processing techniques

Discover Artificial Intelligence
Purpose This study aimed to enhance protein sequence classification using natural language processing (NLP) techniques while addressing the impact of sequence similarity on model performance.
Huma Perveen, Julie Weeds
doaj   +1 more source