Results 51 to 60 of about 83,667 (231)
Deep Learning with unsupervised data labeling for weeds detection on UAV images [PDF]
arXiv, 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
Effects of Herbicides on Selenastrum capricornutum and Daphnia magna
Majallah-i ̒Ilmī-i Shīlāt-i Īrān, 1997 The toxicity of five herbicides, Propanil, Machete, Rilof-H, Saturn, and Ronestar, commonly used in Iranian rice fields, were investigated in acute toxicity bioassays on two organisms belonging to different ig dquatic food chain.
M. Piri; V. Erdok
doaj
EFFECTIVENESS OF THE HERBICIDES IN CROPS SOYBEAN [PDF]
Вісник Уманського національного університету садівництва, 2016 The article presents research results of studying the efficiency of application of soil-applied and postemergent herbicides. The paper contains data on weed infestation of soybean crops 30 days after the application of herbicides and before harvesting ...
Shepilovа T. P.
doaj
Anais da Academia Brasileira de Ciências, 2018 Herbicides can impact non-target metabolic pathways in natural enemies and lead to the reduction of these populations in the field. Behavioral characteristics, morphology and histology of reproductive structures and reproduction of females of Podisus ...
TATIANE C. REIS +6 more
doaj +1 more source
Screening of Pre- and Post-Emergence Herbicides for Weed Control in Camelina sativa (L.) Crantz
AgronomyWeed management has been one of the major challenges in camelina [Camelina sativa (L.) Crantz] production owing to the limited options for selective herbicides.
Si-Zhe Dai +5 more
doaj +1 more source
Crop Knowledge Discovery Based on Agricultural Big Data Integration [PDF]
ICMLSC-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
Hierarchical modelling of species sensitivity distribution: development and application to the case of diatoms exposed to several herbicides [PDF]
arXiv, 2015 The Species Sensitivity Distribution (SSD) is a key tool to assess the ecotoxicological threat of contaminant to biodiversity. It predicts safe concentrations for a contaminant in a community. Widely used, this approach suffers from several drawbacks: i)summarizing the sensitivity of each species by a single value entails a loss of valuable information
arxiv
Herbicidal pollution—pollen damage due to herbicides
Environmental Pollution (1970), 1977 Abstract The maximisation of agricultural yields has been related to the utilisation of pesticides and, as a result, herbicidal control of weeds has gathered momentum. In spite of the greater selectivity and minimum damage aimed at, herbicides have now been proved to act as ecological narcotics.
openaire +3 more sources
SpectroGLY: A Low-Cost IoT-Based Ecosystem for the Detection of Glyphosate Residues in Waters [PDF]
Glyphosate contamination in waters is becoming a major health problem that needs to be urgently addressed, as accidental spraying, drift or leakage of this highly water-soluble herbicide can impact aquatic ecosystems. Researchers are increasingly concerned about exposure to glyphosate and the risks its poses to human health, since it may cause ...
arxiv +1 more source
Precise Robotic Weed Spot-Spraying for Reduced Herbicide Usage and Improved Environmental Outcomes -- A Real-World Case Study [PDF]
arXivPrecise robotic weed control plays an essential role in precision agriculture. It can help significantly reduce the environmental impact of herbicides while reducing weed management costs for farmers. In this paper, we demonstrate that a custom-designed robotic spot spraying tool based on computer vision and deep learning can significantly reduce ...
arxiv