AIMC Topic: Crops, Agricultural

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Panicle Ratio Network: streamlining rice panicle measurement by deep learning with ultra-high-definition aerial images in the field.

Journal of experimental botany Nov 2, 2022
The heading date and effective tiller percentage are important traits in rice, and they directly affect plant architecture and yield. Both traits are related to the ratio of the panicle number to the maximum tiller number, referred to as the panicle ...
Deep Learning Oryza Crops, Agricultural Phenotype
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Estimating leaf area index using unmanned aerial vehicle data: shallow vs. deep machine learning algorithms.

Plant physiology Nov 3, 2021
Measuring leaf area index (LAI) is essential for evaluating crop growth and estimating yield, thereby facilitating high-throughput phenotyping of maize (Zea mays). LAI estimation models use multi-source data from unmanned aerial vehicles (UAVs), but ...
Zea mays Machine Learning Farms Crops, Agricultural Unmanned Aerial Devices China Plant Leaves
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In the soft grip of nature.

Science robotics Dec 16, 2020
Biological grippers can inspire the development of a new class of versatile soft grippers in agrorobotics and beyond.
Animals Agriculture Hand Strength Humans Crops, Agricultural Biomimetic Materials Models, Biological Biomimetics Robotics Equipment Design
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Revisiting CRISPR/Cas-mediated crop improvement: Special focus on nutrition.

Journal of biosciences Jan 1, 2020
Genome editing (GE) technology has emerged as a multifaceted strategy that instantaneously popularised the mechanism to modify the genetic constitution of an organism. The clustered regularly interspaced short palindromic repeat (CRISPR) and CRISPR-a...
DNA Breaks, Double-Stranded Endonucleases Crops, Agricultural Gene Editing Genome, Plant Artificial Intelligence CRISPR-Cas Systems
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Averting robo-bees: why free-flying robotic bees are a bad idea.

Emerging topics in life sciences Nov 27, 2019
Food security and the sustainability of native ecosystems depends on plant-insect interactions in countless ways. Recently reported rapid and immense declines in insect numbers due to climate change, the use of pesticides and herbicides, the introduc...
Herbicides Pollination Pesticides Models, Biological Crops, Agricultural Flowers Food Supply Ecosystem Bees Computer Simulation Robotics Climate Change Animals
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[From genome analysis to construction of an integrated omics knowledgebase for crops].

Yi chuan = Hereditas Sep 20, 2019
The advances in high-throughput technologies have enabled high-speed accumulation of omics data, which contain a large amount of genetic variations and their functional information. The integration and deep utilization of those data will be a long-te...
Knowledge Bases Crops, Agricultural Genomics Oryza
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agriGO v2.0: a GO analysis toolkit for the agricultural community, 2017 update.

Nucleic acids research Jul 3, 2017
The agriGO platform, which has been serving the scientific community for >10 years, specifically focuses on gene ontology (GO) enrichment analyses of plant and agricultural species. We continuously maintain and update the databases and accommodate th...
Gene Ontology Arabidopsis Fishes Software Insecta Agriculture Crops, Agricultural Vegetables Animals Internet Molecular Sequence Annotation Birds
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The antioxidant and phenolic profiles of five green vegetables grown in Southern Nigeria.

Acta scientiarum polonorum. Technologia alimentaria Jan 1, 2016
BACKGROUND: Regular consumption of vegetables has been associated with reduced risk of chronic diseases. The phenolic and free radical scavenging properties of five green vegetables grown in southern Nigeria were determined.
Seasons Vegetables Crops, Agricultural Principal Component Analysis Antioxidants Anthocyanins Nigeria Plant Extracts Flavonoids Plant Leaves Phenols
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