Results 51 to 60 of about 83,451 (223)

4Weed Dataset: Annotated Imagery Weeds Dataset [PDF]

open access: yesarXiv, 2022
Weeds are a major threat to crops and are responsible for reducing crop yield worldwide. To mitigate their negative effect, it is advantageous to accurately identify them early in the season to prevent their spread throughout the field. Traditionally, farmers rely on manually scouting fields and applying herbicides for different weeds.
arxiv  

Herbicide Phytotoxicity and Resistance to Herbicides in Legume Plants [PDF]

open access: yes, 2012
Active substances in herbicides, just like in other pesticides, are chemical compounds synthesized in order to kill organisms which are harmful for cultivated plants. Therefore, they are toxins introduced on purpose by man into the environment. From the perspective of environmental protection, it is very significant that herbicides are most often ...
Barbara Adomas   +1 more
openaire   +3 more sources

Deep Learning with unsupervised data labeling for weeds detection on UAV images [PDF]

open access: yesarXiv, 2018
In modern agriculture, usually weeds control consists in spraying herbicides all over the agricultural field. This practice involves significant waste and cost of herbicide for farmers and environmental pollution. One way to reduce the cost and environmental impact is to allocate the right doses of herbicide at the right place and at the right time ...
arxiv  

Economic analysis of integrated weed management in field bean (Phaseolus vulgaris L.)

open access: yesPlant, Soil and Environment, 2003
Field experiments were conducted in field bean in the north-eastern part of theRepublicofCroatiato compare weed control and crop response under different management practices within the critical period of field bean production. The practices consisted in
E. Štefanić   +2 more
doaj   +1 more source

Similarity and Phylogenetic Analysis of Herbicide-Resistant Goosegrass (Eleusine indica) Biotypes

open access: yesCaraka Tani: Journal of Sustainable Agriculture, 2019
Molecular approach as a herbicide-resistant agent detector is an initial solution before controlling of Eleusine indica weed. This review article is aimed to obtain the basic data of similarity and phylogenetic values among herbicide-resistant E.
Koko Tampubolon   +6 more
doaj   +1 more source

Quinclorac Resistance in Echinochloa crus-galli from China

open access: yesRice Science, 2019
Echinochloa crus-galli is a major weed in rice fields in China, and quinclorac has been long used for its control. Over-reliance of quinclorac has resulted in quinclorac resistance in E. crus-galli. Two resistant (R) E. crus-galli populations from Hunan,
Peng Qiong   +5 more
doaj  

Response of Yield and Yield Components of Garlic (Allium sativum L.) to Stale Seedbeds and Different Dosages of Herbicide

open access: yesTulīd va Farāvarī-i Maḥṣūlāt-i Zirā̒ī va Bāghī, 2022
In order to evaluate the effect of different planting seedbeds (stale and false) and application of Oxyfluorfen herbicide on yield, yield components and control of garlic weeds, a split-plot experiment was conducted based on a randomized complete block ...
F. Lotfizad   +3 more
doaj  

Development of herbicide resistance genes and their application in rice

open access: yesCrop Journal, 2022
Rice is one of the most important food crops in the world. Weeds seriously affect the rice yield and grain quality. In recent years, there are tremendous progresses in the research and application of herbicide-resistant genes in rice worldwide.
Man Jin   +3 more
doaj  

Nanopartículas de alginato como sistema de liberação para o herbicida clomazone

open access: yesQuímica Nova, 2010
In this paper, we describe the preparation of alginate nanoparticles as a delivery system for the herbicide clomazone. Two different methods were investigated and characterized by size distribution, zeta potencial, pH and in vitro release.
Mariana dos Santos Silva   +5 more
doaj   +1 more source

Crop Knowledge Discovery Based on Agricultural Big Data Integration [PDF]

open access: yesICMLSC-2020, 2020
Nowadays, the agricultural data can be generated through various sources, such as: Internet of Thing (IoT), sensors, satellites, weather stations, robots, farm equipment, agricultural laboratories, farmers, government agencies and agribusinesses. The analysis of this big data enables farmers, companies and agronomists to extract high business and ...
arxiv  

Home - About - Disclaimer - Privacy