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

Plant Breeding and Biotechnology01:59

Plant Breeding and Biotechnology

19.5K
Crop cultivation has a long history in human civilization, with records showing the cultivation of cereal plants beginning at around 8000 BC. This early plant breeding was developed primarily to provide a steady supply of food.
19.5K
Adaptations that Reduce Water Loss01:57

Adaptations that Reduce Water Loss

25.9K
Though evaporation from plant leaves drives transpiration, it also results in loss of water. Because water is critical for photosynthetic reactions and other cellular processes, evolutionary pressures on plants in different environments have driven the acquisition of adaptations that reduce water loss.
25.9K
Key Elements for Plant Nutrition02:35

Key Elements for Plant Nutrition

18.9K
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...
18.9K
Natural Selection and Adaptation01:15

Natural Selection and Adaptation

274
Natural selection, a fundamental concept in evolutionary biology, is the mechanism by which evolution is driven, favoring organisms that are best adapted to their environments. This process enhances their chances of survival and reproduction. Adaptation, a key outcome of this process, involves genetic modifications that optimize an organism's functionality under specific environmental challenges, such as extreme cold or thinner air at high altitudes.
Beyond physical adaptations,...
274
Light Acquisition02:16

Light Acquisition

8.6K
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
8.6K
Responses to Drought and Flooding02:41

Responses to Drought and Flooding

10.8K
Water plays a significant role in the life cycle of plants. However, insufficient or excess of water can be detrimental and pose a serious threat to plants.
10.8K

You might also read

Related Articles

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

Sort by
Same author

A Dual Architecture Fusion and AutoEncoder for Automatic Morphological Classification of Human Sperm.

Sensors (Basel, Switzerland)·2023
Same author

MITNet: a fusion transformer and convolutional neural network architecture approach for T-cell epitope prediction.

Briefings in bioinformatics·2023
Same author

IoT and Deep Learning-Based Farmer Safety System.

Sensors (Basel, Switzerland)·2023
Same author

Implementing a Compression Technique on the Progressive Contextual Excitation Network for Smart Farming Applications.

Sensors (Basel, Switzerland)·2022
Same author

Implementing a Hand Gesture Recognition System Based on Range-Doppler Map.

Sensors (Basel, Switzerland)·2022
Same author

Design and implementation of a VoIP broadcasting service over embedded systems in a heterogeneous network environment.

TheScientificWorldJournal·2014

Related Experiment Video

Updated: Aug 10, 2025

Robotic Sensing and Stimuli Provision for Guided Plant Growth
08:02

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Published on: July 1, 2019

8.1K

SCANet: Implementation of Selective Context Adaptation Network in Smart Farming Applications.

Xanno Sigalingging1, Setya Widyawan Prakosa1, Jenq-Shiou Leu1

  • 1Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei City 10607, Taiwan.

Sensors (Basel, Switzerland)
|February 11, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces SCANet, a deep learning model for smart farming image classification. SCANet improves accuracy for agricultural commodities, outperforming existing methods.

Keywords:
Selective Context Adaptationdeep learninglevel-wise informationprecision agriculturesmart farming

More Related Videos

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.0K
How to Create Conditioned Taste Aversion for Grazing Ground Covers in Woody Crops with Small Ruminants
05:55

How to Create Conditioned Taste Aversion for Grazing Ground Covers in Woody Crops with Small Ruminants

Published on: April 30, 2016

7.4K

Related Experiment Videos

Last Updated: Aug 10, 2025

Robotic Sensing and Stimuli Provision for Guided Plant Growth
08:02

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Published on: July 1, 2019

8.1K
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.0K
How to Create Conditioned Taste Aversion for Grazing Ground Covers in Woody Crops with Small Ruminants
05:55

How to Create Conditioned Taste Aversion for Grazing Ground Covers in Woody Crops with Small Ruminants

Published on: April 30, 2016

7.4K

Area of Science:

  • Computer Science
  • Agricultural Science
  • Artificial Intelligence

Background:

  • Deep learning adoption in smart farming is uneven, with developing countries lagging.
  • Smallholder farmers in developing nations have limited access to advanced agricultural technologies.
  • Image classification is a key component of precision agriculture systems.

Purpose of the Study:

  • To enhance image classification for smart farming applications.
  • To address the limited adoption of deep learning in developing countries' agriculture.
  • To leverage textural details of agricultural commodities for improved classification.

Main Methods:

  • Proposed a deep learning approach named Selective Context Adaptation Network (SCANet).
  • Implemented a feature enhancement strategy using level-wise information and context selection.
  • Exploited contextual correlation features within crop images.

Main Results:

  • SCANet achieved an accuracy of 88.72%.
  • The proposed approach demonstrated the effectiveness of its context selection mechanism.
  • Outperformed existing image classification methods in the domain.

Conclusions:

  • SCANet offers a significant improvement in agricultural image classification.
  • The model's effectiveness was validated on a real-world cocoa bean dataset from Indonesia.
  • This work contributes to advancing precision agriculture technologies for wider adoption.