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

Production Efficiency01:01

Production Efficiency

Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).
Quantifying Work02:30

Quantifying Work

As a system undergoes a change, its internal energy can change, and energy can be transferred from the system to the surroundings, or from the surroundings to the system.
Extraction: Advanced Methods00:56

Extraction: Advanced Methods

Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is formed in...
Methods of Medium Optimization01:28

Methods of Medium Optimization

Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
Cluster Sampling Method01:20

Cluster Sampling Method

Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...

You might also read

Related Articles

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

Sort by
Same author

Evaluation of synergistic effect of biodegradable polymeric nanoparticles and aluminum based adjuvant for improving vaccine efficacy.

International journal of pharmaceutics·2014
Same author

Organic acids tunably catalyze carbonic acid decomposition.

The journal of physical chemistry. A·2014
Same author

Deficient sucrose synthase activity in developing wood does not specifically affect cellulose biosynthesis, but causes an overall decrease in cell wall polymers.

The New phytologist·2014
Same author

Prospective Randomized Comparison of Open versus Transperitoneal Laparoscopic Ureterolithotomy: Experience of a Single Center from Northern India.

Current urology·2014
Same author

Healthy response from chromium survived pteridophytic plant-Ampelopteris prolifera with the interaction of mycorrhizal fungus-Glomus deserticola.

International journal of phytoremediation·2014
Same author

Large air-fluid level in the perinephric space without obstruction.

BMJ case reports·2014
Same journal

Blue:red LED ratios coordinate pigment accumulation and vacuolar pH to reshape petal color and VOC profiles in Rosa hybrida 'Juicy Terrazza'.

BMC plant biology·2026
Same journal

Characterization of the C4 proteins encoded by okra-infecting geminiviruses in India.

BMC plant biology·2026
Same journal

A Lightweight model for accurate soybean pod detection: YOLO-MobilePod.

BMC plant biology·2026
Same journal

Pan-genomic and transcriptomic analyses reveal subfunctionalization of CBP/p300-like histone acetyltransferases in soybean seed development.

BMC plant biology·2026
Same journal

Biochar and ZnO-Se nanocomposites enhanced biochemical and antioxidant profiling of soybean: insight into GC-MS metabolomics, and KEGG pathway analysis.

BMC plant biology·2026
Same journal

Development of RT-RPA assays for rapid detection of mango-infecting viruses using high-throughput sequencing-derived genomic information.

BMC plant biology·2026
See all related articles

Related Experiment Video

Updated: Jun 21, 2026

The Hawaii Protocol for Scientific Monitoring of Coffee Berry Borer: a Model for Coffee Agroecosystems Worldwide
14:29

The Hawaii Protocol for Scientific Monitoring of Coffee Berry Borer: a Model for Coffee Agroecosystems Worldwide

Published on: March 19, 2018

Enhancing labour efficiency in coffee harvesting using process mining and statistical analysis.

Sridevi Saralaya1, Anjali Ganesh2, Ravikantha Prabhu3

  • 1Department of Computer Science and Engineering, St Joseph Engineering College, Mangaluru, India.

BMC Plant Biology
|June 19, 2026
PubMed
Summary
This summary is machine-generated.

Optimizing coffee harvesting requires effective labor management and consideration of human and environmental factors. Process Mining (PM) and statistical analysis reveal workflow patterns and productivity drivers for better efficiency.

Keywords:
Agricultural data analysisArabicaCoffea ArabicaCoffea CanephoraCoffee harvestingLabour productivityProcess miningRobustaSPSSWorker efficiency

More Related Videos

Methodology to Test Control Agents and Insecticides Against the Coffee Berry Borer Hypothenemus hampei
09:23

Methodology to Test Control Agents and Insecticides Against the Coffee Berry Borer Hypothenemus hampei

Published on: March 23, 2022

Using Capillary Electrophoresis to Quantify Organic Acids from Plant Tissue: A Test Case Examining Coffea arabica Seeds
10:13

Using Capillary Electrophoresis to Quantify Organic Acids from Plant Tissue: A Test Case Examining Coffea arabica Seeds

Published on: November 12, 2016

Related Experiment Videos

Last Updated: Jun 21, 2026

The Hawaii Protocol for Scientific Monitoring of Coffee Berry Borer: a Model for Coffee Agroecosystems Worldwide
14:29

The Hawaii Protocol for Scientific Monitoring of Coffee Berry Borer: a Model for Coffee Agroecosystems Worldwide

Published on: March 19, 2018

Methodology to Test Control Agents and Insecticides Against the Coffee Berry Borer Hypothenemus hampei
09:23

Methodology to Test Control Agents and Insecticides Against the Coffee Berry Borer Hypothenemus hampei

Published on: March 23, 2022

Using Capillary Electrophoresis to Quantify Organic Acids from Plant Tissue: A Test Case Examining Coffea arabica Seeds
10:13

Using Capillary Electrophoresis to Quantify Organic Acids from Plant Tissue: A Test Case Examining Coffea arabica Seeds

Published on: November 12, 2016

Area of Science:

  • Agricultural Science
  • Industrial Engineering
  • Data Science

Background:

  • Coffee processing quality and market value are significantly impacted by operational challenges in wet processing environments.
  • This study examines coffee harvesting and processing in Sakaleshpur (Arabica) and Chikkamagaluru (Robusta).
  • The research includes 15 Robusta batches and three Arabica harvesting stages: fly picking, mid-harvesting, and stripping.

Purpose of the Study:

  • To analyze process features and productivity-impacting factors in coffee harvesting.
  • To investigate the effectiveness of integrating statistical analysis and Process Mining (PM).
  • To provide a data-driven approach for enhancing coffee processing efficiency.

Main Methods:

  • Utilized statistical analysis to examine process features and productivity factors.
  • Employed Process Mining (PM) to identify workflow patterns and operational variations.
  • Analyzed 15 batches of Robusta and three stages of Arabica harvesting.

Main Results:

  • A negative correlation was found between the number of workers and coffee quantity during fly picking, indicating diminishing returns with increased labor.
  • Statistical analysis identified labor efficiency, weather, and gender as key factors influencing harvesting performance.
  • Process Mining (PM) effectively identified variations in workflow patterns, complementing traditional cause-and-effect research.

Conclusions:

  • Integrating Process Mining (PM) and statistical techniques offers valuable insights into coffee harvesting processes.
  • Effective labor management, alongside human and environmental considerations, is crucial for increasing productivity.
  • This integrated methodology establishes a data-driven paradigm for optimizing coffee processing systems.