Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Optimal Foraging00:48

Optimal Foraging

How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
Confirmation Biases01:31

Confirmation Biases

The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
Key Elements for Plant Nutrition02:35

Key Elements for Plant Nutrition

Like all living organisms, plants require organic and inorganic nutrients to survive, reproduce, grow and maintain homeostasis. To identify nutrients that are essential for plant functioning, researchers have leveraged a technique called hydroponics. In hydroponic culture systems, plants are grown—without soil—in water-based solutions containing nutrients. At least 17 nutrients have been identified as essential elements required by plants. Plants acquire these elements from the atmosphere, the...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Development of a Sustainable Analytical Method Using High-Performance Liquid Chromatography (HPLC) and Dissolution Studies for Quality Control of Ibuprofen Soft Gelatin Capsules from Brazil.

ACS omega·2026
Same author

Sex/race categories, social determinants, and cardiovascular events in Brazilian adults with diabetes: a longitudinal analysis from ELSA-Brasil.

Diabetology & metabolic syndrome·2026
Same author

Diet quality determinants among manufacturing workers in Brazil: Socio-demographic factors, food choices, and ultra-processed foods.

PloS one·2026
Same author

Acerola and Its By-Products as Sources of Bioactive Compounds: Phytochemical Profile and Biological Effects in Experimental and Clinical Studies.

Molecules (Basel, Switzerland)·2026
Same author

Dietary polyphenols as modulators of the microbiota-gut-brain axis in depression and anxiety: a preclinical perspective.

Food & function·2026
Same author

Neurobehavioural outcomes and brain inflammatory-oxidative responses to distinct intermittent fasting regimens: A comprehensive review.

Neuroscience and biobehavioral reviews·2026

Related Experiment Video

Updated: Jun 29, 2026

Palatable Western-style Cafeteria Diet as a Reliable Method for Modeling Diet-induced Obesity in Rodents
09:10

Palatable Western-style Cafeteria Diet as a Reliable Method for Modeling Diet-induced Obesity in Rodents

Published on: November 1, 2019

Prioritizing neglected food species in nutritional studies using expert-knowledge and explainable AI.

Michelle Cristine Medeiros Jacob1, Aline Martins de Carvalho2, Ângela Giovana Batista3

  • 1Laboratory of Biodiversity and Nutrition, Universidade Federal Do Rio Grande Do Norte, Avenida Senador Salgado Filho, S/N, Natal, RN, 59078-970, Brazil. michelle.jacob@ufrn.br.

Scientific Reports
|March 2, 2026
PubMed
Summary

This study inventories 369 neglected food species in Brazil, using AI to prioritize research. Findings highlight cultural uses and accessibility in guiding nutritional studies for sustainable diets.

Keywords:
Artificial intelligenceFood biodiversityFood securityFood systemsNeglected species

More Related Videos

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method
06:21

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method

Published on: February 19, 2021

Related Experiment Videos

Last Updated: Jun 29, 2026

Palatable Western-style Cafeteria Diet as a Reliable Method for Modeling Diet-induced Obesity in Rodents
09:10

Palatable Western-style Cafeteria Diet as a Reliable Method for Modeling Diet-induced Obesity in Rodents

Published on: November 1, 2019

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method
06:21

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method

Published on: February 19, 2021

Area of Science:

  • Food science and nutrition
  • Biodiversity conservation
  • Sustainable agriculture

Background:

  • Neglected and underutilized food species are crucial for human health and sustainable food systems.
  • Research on these species is hindered by funding, capacity, and complex considerations.
  • Innovative prioritization methods are needed to address these research gaps.

Purpose of the Study:

  • To inventory neglected food species in Brazil.
  • To identify key factors for prioritizing species in food composition and consumption studies.
  • To inform research and policy for integrating neglected species into sustainable food systems.

Main Methods:

  • A mixed-methods approach combining expert knowledge and explainable artificial intelligence (AI).
  • Utilized LightGBM and SHAP value analysis for factor identification.
  • Inventoried 369 neglected food species across various categories (algae, fauna, insects, plants, etc.).

Main Results:

  • The inventory includes 369 neglected food species, dominated by plants and wild vertebrates.
  • Significant nutritional data gaps exist, especially for algae, insects, and wild vertebrates.
  • Recipe number and species occurrence across states were key predictors for prioritization in food composition and consumption studies.

Conclusions:

  • Cultural uses and local accessibility significantly influence nutritional research priorities for neglected species.
  • Increased research is urged to bridge data gaps and promote the integration of neglected species into food systems.
  • Findings support promoting sustainable diets in Brazil and other tropical regions through enhanced research on neglected food biodiversity.