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  • Article
  • Open Access

Vineyard Groundcover Biodiversity: Using Deep Learning to Differentiate Cover Crop Communities from Aerial RGB Imagery

  • Isabella Ghiglieno,
  • Girma Tariku Woldesemayat,
  • Andres Sanchez Morchio,
  • Celine Birolleau,
  • Luca Facciano,
  • Fulvio Gentilin,
  • Salvatore Mangiapane,
  • Anna Simonetto and
  • Gianni Gilioli

Monitoring groundcover diversity in vineyards is a complex task, often limited by the time and expertise required for accurate botanical identification. Remote sensing technologies and AI-based tools are still underutilized in this context, particula...

  • Article
  • Open Access

Characteristics of Local Air Temperature of Serpentine Copper Pipe Heat Exchangers for Cooling Growing Crops in Greenhouses

  • Thiri Shoon Wai,
  • Naoki Maruyama,
  • Napassawan Wongmongkol,
  • Chatchawan Chaichana,
  • Smith Eiamsa-ard and
  • Masafumi Hirota

This study investigates the performance of unit-element heat exchangers. Particularly, it focuses on the characteristics of the local air temperature profiles and heat transfer performance of serpentine copper pipe heat exchangers with different diam...

  • Article
  • Open Access

Plant diseases are currently a major threat to agricultural economies and food availability, having a negative environmental impact. Despite being a promising line of research, current approaches struggle with poor cross-site generalization, limited...

  • Review
  • Open Access
46 Views
34 Pages

Vegetation Indices from UAV Imagery: Emerging Tools for Precision Agriculture and Forest Management

  • Adrian Peticilă,
  • Paul Gabor Iliescu,
  • Lucian Dinca,
  • Andy-Stefan Popa and
  • Gabriel Murariu

Unmanned Aerial Vehicles (UAVs) have become essential instruments for precision agriculture and forest monitoring, offering rapid, high-resolution data collection over wide areas. This review synthesizes global advances (2015–2024) in UAV-deriv...

  • Article
  • Open Access
202 Views
22 Pages

A Decision Support System (DSS) for Irrigation Oversizing Diagnosis Using Geospatial Canopy Data and Irrigation Ecolabels

  • Sergio Vélez,
  • Raquel Martínez-Peña,
  • João Valente,
  • Mar Ariza-Sentís,
  • Igor Sirnik and
  • Miguel Ángel Pardo

Agriculture faces growing pressure to optimize water use, particularly in woody perennial crops where irrigation systems are installed once and seldom redesigned despite changes in canopy structure, soil conditions, or plant mortality. Such static la...

  • Article
  • Open Access
89 Views
16 Pages

Concept of a Modular Wide-Area Predictive Irrigation System

  • Kristiyan Dimitrov,
  • Nayden Chivarov and
  • Stefan Chivarov

The article presents a method for determining the irrigation requirements of crops based on soil moisture. The proposed approach enables scheduling irrigation at the most appropriate time of day by combining current soil moisture measurements with fo...

  • Article
  • Open Access
173 Views
23 Pages

This study explores the potential of hyperspectral imaging combined with machine learning techniques to provide accurate and non-invasive methods for analyzing soil nutrient content in precision agriculture. Data were collected from agricultural regi...

  • Article
  • Open Access
179 Views
17 Pages

Livestock farming represents one of the primary sources of ammonia (NH3) and greenhouse gas (GHG) emissions, including methane (CH4), nitrous oxide (N2O), and carbon dioxide (CO2), having a significant environmental impact. Reducing emissions and rec...

  • Article
  • Open Access
158 Views
16 Pages

Under the condition of high-speed maize seeding, the collision between the seeds and the restraint seeding guide device, as well as the excessively high seeding speed, will lead to a sharp increase in the coefficient of variation in the seed spacing...

  • Article
  • Open Access
137 Views
19 Pages

Expanding Innovation in Agriculture: Case Study on Adoptable Technologies Using GenAI Based on Traditional Knowledge Management

  • David Israel Contreras-Medina,
  • María Teresa de la Garza Carranza,
  • Julia Sánchez-Gómez and
  • Venancio Cuevas-Reyes

Given the demand for more and better food by 2050, the use of technologies in agricultural activities is the most appropriate way to strengthen the sector; however, their adoption remains a milestone for small-scale agriculture. Currently, GenAI, est...

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AgriEngineering - ISSN 2624-7402