Results 41 to 50 of about 10,289,441 (305)
IMPACT OF AGRICULTURE ON SOIL POLLUTION IN BULGARIA [PDF]
This article proposes an interpretation of some statistical and empirical evidence of the impact of land pollution on agriculture and agriculture as pollutant.
Hristina Harizanova-Bartos+1 more
doaj +2 more sources
Bioinformatics for agriculture in the Next-Generation sequencing era [PDF]
The key role of bioinformatics is acquiring striking importance in the era of outstanding advances in omics technologies for its fundamental support in describing the multifaceted aspects of biological functionalities. The manifold omics efforts flourishing worldwide are also contributing fundamental novelties in many aspects of agricultural sciences ...
Esposito, A+3 more
openaire +4 more sources
Spectral data contain information on soil organic and mineral composition, which can be useful for soil quality monitoring. The objective of research was to evaluate hyperspectral visible and near infrared reflectance (VNIR) spectroscopy for field-scale ...
Ivana ŠESTAK+4 more
doaj +1 more source
Standardizing and Centralizing Datasets to Enable Efficient Training of Agricultural Deep Learning Models [PDF]
In recent years, deep learning models have become the standard for agricultural computer vision. Such models are typically fine-tuned to agricultural tasks using model weights that were originally fit to more general, non-agricultural datasets. This lack of agriculture-specific fine-tuning potentially increases training time and resource use, and ...
arxiv
What good are unmanned aircraft systems for agricultural remote sensing and precision agriculture?
Remote sensing from unmanned aircraft systems (UAS) was expected to be an important new technology to assist farmers with precision agriculture, especially crop nutrient management.
E. Hunt, C. Daughtry
semanticscholar +1 more source
Computational fluid dynamics (CFD) is a numerical tool often used to predict anticipated observations using only the physics involved by numerically solving the conservation equations for energy, momentum, and continuity.
Navraj Hanspal, Steven A. Cryer
doaj +1 more source
Label-Efficient Learning in Agriculture: A Comprehensive Review [PDF]
The past decade has witnessed many great successes of machine learning (ML) and deep learning (DL) applications in agricultural systems, including weed control, plant disease diagnosis, agricultural robotics, and precision livestock management. Despite tremendous progresses, one downside of such ML/DL models is that they generally rely on large-scale ...
arxiv
Implementing the new EU rural development : the Spanish case [PDF]
A brief overview region by region of the activities planned to be carried out with support from EAGGF in 2000-2006, with a view to build up a sustainable agriculture and maintain a living rural world all over SpainOfrece una visión por regiones de la ...
European Commission. Directorate-General for Agriculture
core
Organic farm conventionalisation and farmer practices in China, Brazil and Egypt. [PDF]
Certified organic agriculture stipulates a range of principles and standards, which govern farmer practices. The recent global expansion of organic agriculture has raised new challenges for organic agriculture, particularly whether management practices ...
Abreu, Lucimar Santiago de+7 more
core +1 more source
Generating regenerative agriculture
Despite its being still a somewhat vague concept, regenerative agriculture has progressively been gaining momentum and popularity in recent years. While discussing the meaning of the term regenerative agriculture, we propose to link regenerative agriculture with the safe and just Earth system boundaries framework, as the basis for the generation of a ...
Carlos Garbisu+2 more
openaire +2 more sources