AIMC Topic: Crops, Agricultural

Clear Filters Showing 221 to 230 of 243 articles

Landscape ethnoecological knowledge base and management of ecosystem services in a Székely-Hungarian pre-capitalistic village system (Transylvania, Romania).

Journal of ethnobiology and ethnomedicine
BACKGROUND: Previous studies showed an in-depth ecological understanding by traditional people of managing natural resources. We studied the landscape ethnoecological knowledge (LEEK) of Székelys on the basis of 16-19(th) century village laws. We ana...

Entomopathogenic nematodes: Commercial use and future perspectives.

Journal of invertebrate pathology
The 100 years of research, development, commercialization and use of entomopathogenic nematodes (EPN) since their discovery in the 1920s have seen impressive progress. Nowadays, many EPN products, based on a relatively limited number of EPN species, ...

A review of the journey of field crop phenotyping: From trait stamp collections and fancy robots to phenomics-informed crop performance predictions.

Journal of plant physiology
Crop phenotyping encompasses methodologies for measuring plant growth, architecture, and composition with high precision across scales, from organs to canopies. Field-based phenotyping is pivotal in bridging genomic data with crop performance, offeri...

Optimizing Plant Alkaloid Biosynthesis under Drought Stress: Regulatory Mechanisms and Biotechnological Strategies.

Journal of plant physiology
Global climate change exacerbates drought stress, severely affecting plant growth, agricultural productivity, and the biosynthesis of secondary metabolites. Alkaloids, nitrogenous compounds with diverse biological activities, hold substantial medicin...

Genomics-assisted breeding for designing salinity-smart future crops.

Plant biotechnology journal
Climate change induces many abiotic stresses, including soil salinity, significantly challenging global agriculture. Salinity stress tolerance (SST) is a complex trait, both physiologically and genetically, and is conferred at various levels of plant...

Genomic selection: Essence, applications, and prospects.

The plant genome
Genomic selection (GS) emerged as a key part of the solution to ensure the food supply for the growing human population thanks to advances in genotyping and other enabling technologies and improved understanding of the genotype-phenotype relationship...

An efficient plant disease detection using transfer learning approach.

Scientific reports
Plant diseases pose significant challenges to farmers and the agricultural sector at large. However, early detection of plant diseases is crucial to mitigating their effects and preventing widespread damage, as outbreaks can severely impact the produ...

Using supervised machine-learning approaches to understand abiotic stress tolerance and design resilient crops.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Abiotic stresses such as drought, heat, cold, salinity and flooding significantly impact plant growth, development and productivity. As the planet has warmed, these abiotic stresses have increased in frequency and intensity, affecting the global food...

AI-IoT based smart agriculture pivot for plant diseases detection and treatment.

Scientific reports
There are some key problems faced in modern agriculture that IoT-based smart farming. These problems such shortage of water, plant diseases, and pest attacks. Thus, artificial intelligence (AI) technology cooperates with the Internet of Things (IoT) ...

Model-to-crop conserved NUE Regulons enhance machine learning predictions of nitrogen use efficiency.

The Plant cell
Systems biology aims to uncover gene regulatory networks (GRNs) for agricultural traits, but validating them in crops is challenging. We addressed this challenge by learning and validating model-to-crop transcription factor (TF) regulons governing ni...