Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Illumination of potential varieties, precision techniques and a 4.0 technologies in coffee farming. A systematic review

Domaine:

agriculture

Type de record:

paper
Créateur:
GebAbi
Hôte:avatar

The major factors contributing to low yield in the country are the limitation of high-yielding, quality-improved genotypes for each ecological zone; disease- and drought-resistant varieties; up-to-date techniques; and modern technologies. The main objective of the study was therefore to illuminate potential varieties, precision coffee growing and ‘A 4.0’ technologies in coffee farming using the PRISMA 2020 methodology. Preferred reporting items for systematic review and meta-analysis (PRISMA) were employed. Universally accredited and indexed high-quality databases, particularly Web of Science, Scopus and Google Scholar, were accessed to repossess published data. The titles ‘Coffee and Ethiopia and genotype or variety’, ‘precision coffee growing’, or ‘Agriculture 4.0 technology’ were used to retrieve articles. ‘Microsoft Excel’ and SAS were employed to analyze the data. A total of 57 publications were selected as they fit the objective of the study. The present study enlightened the coffee genotypes, including hybrids for high yield, quality, disease resistance and climate adaptability, which were the most limiting factors for coffee Arabica. Moreover, the current study reveals the modern techniques of geostatistics, IoT, drone technology, remote sensing, robotics, image processing, thermography and machine learning in coffee farming for sustainability.

Visit

figshare.com

Tags

EcologyImmunologyScience PolicyPlant BiologyBiological Sciences not elsewhere classifiedChemical Sciences not elsewhere classifiedAgriculture 4.0 technologiesCoffee genotypesDigital transformationPrecision farming+3

Licenses

CC BY 4.0

Similaires

CLIMATE-SMART AGRICULTURE IN NIGERIA: A REVIEW OF PRECISION FARMING TECHNOLOGIES FOR FOOD SECURITYA Review Of Precision And Innovative Farming For Nigerian FarmersA Review of Coffee Varieties, Value Chain and Growing Regions in KenyaPrecision Agriculture for Resource Use Efficiency in Smallholder Farming Systems in Sub-Saharan Africa: A Systematic ReviewArtificial Intelligence and Machine Learning in Precision Farming a Case Study of Nigeria: A ReviewThe potential use of digital health technologies in the African context: a systematic review of evidence from Ethiopia

CLIMATE-SMART AGRICULTURE IN NIGERIA: A REVIEW OF PRECISION FARMING TECHNOLOGIES FOR FOOD SECURITY

Nigeria faces acute challenges to agricultural productivity arising from intensifying climate variab

A Review Of Precision And Innovative Farming For Nigerian Farmers

This study successfully developed a logistic regression model (LRM), a machine learning algorithm to

A Review of Coffee Varieties, Value Chain and Growing Regions in Kenya

Kenyan coffee is ranked among the best in the world and 99% is exported mainly to Germany, Sweden an

Precision Agriculture for Resource Use Efficiency in Smallholder Farming Systems in Sub-Saharan Africa: A Systematic Review

Opportunities exist for adoption of precision agriculture technologies in all parts of the world. Th

Artificial Intelligence and Machine Learning in Precision Farming a Case Study of Nigeria: A Review

Precision farming leverages Artificial Intelligence (AI) and Machine Learning (ML) and has

The potential use of digital health technologies in the African context: a systematic review of evidence from Ethiopia

The World Health Organization (WHO) recently put forth a Global Strategy on Digital Health 2020–2025