Artificial Intelligence and Human–Computer Interactions in Agricultural Production

A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Precision and Digital Agriculture".

Deadline for manuscript submissions: 30 April 2026 | Viewed by 718

Special Issue Editors


E-Mail Website
Guest Editor
College of Enology, Northwest A&F University, Yangling 712100, China
Interests: non-destructive detection of grape quality and pests/diseases; resource utilization of agricultural by-products; informatization technologies and intelligent agricultural machinery for vineyards
College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China
Interests: theoretical and applied research in computer vision; smart agriculture
Colleague of Enology, Northwest A&F University, Yangling, China
Interests: low-damage mechanized harvesting technology; non-destructive detection of grape quality and pests/diseases; resource utilization of agricultural by-products; vineyard informatization technologies and intelligent agricultural machinery and equipment.

Special Issue Information

Dear Colleagues,

With yearly population growth and the rapid development of the global economy, society is experiencing an increased demand for resources such as food and cash crops; as such, agricultural productivity has received attention. To achieve enhanced production and reduced environmental impacts, artificial intelligence and human–computer interactions have been gradually adopted over the last 10 years to aid in the cultivation of crops and fruits.

Assessment of crop growth and timely strategic responses to variations in crop production are fundamental challenges to address using artificial intelligence technology. Detecting, counting, and assessing individual crops allows the selection of appropriate horticultural practices such as the timely application of chemicals and precision irrigation scheduling.

With this Special Issue of Agronomy, we seek integrative studies that shed light on artificial intelligence applications for crops and fruits, such as detection, locating and picking, segmentation, yield prediction, and reviews that offer original perspectives on human–computer applications and theories on their relevant use in agricultural productivity. Furthermore, we encourage the submission of contributions that investigate the advancement of related technologies in agronomy, horticulture, agricultural robotics, and agricultural economics.

Dr. Wenzheng Liu
Dr. Shuqin Tu
Dr. Yuan Su
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agronomy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • artificial intelligence
  • crop monitoring
  • precision agriculture
  • fruit detection and harvesting
  • human–computer interaction
  • agricultural robotics

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Review

35 pages, 18570 KB  
Review
Research Status and Trends in Universal Robotic Picking End-Effectors for Various Fruits
by Wenjie Gao, Jizhan Liu, Jie Deng, Yong Jiang and Yucheng Jin
Agronomy 2025, 15(10), 2283; https://doi.org/10.3390/agronomy15102283 - 26 Sep 2025
Viewed by 583
Abstract
The land used for fruit cultivation now exceeds 120 million hectares globally, with an annual yield of nearly 940 million tons. Fruit picking, the most labor-intensive task in agricultural production, is gradually shifting toward automation using intelligent robotic systems. As the component in [...] Read more.
The land used for fruit cultivation now exceeds 120 million hectares globally, with an annual yield of nearly 940 million tons. Fruit picking, the most labor-intensive task in agricultural production, is gradually shifting toward automation using intelligent robotic systems. As the component in direct contact with crops, specialized picking end-effectors perform well for certain fruits but lack adaptability to diverse fruit types and canopy structures. This limitation has constrained technological progress and slowed industrial deployment. The diversity of fruit shapes and the wide variation in damage thresholds—2–4 N for strawberries, 15–40 N for apples, and about 180 N for kiwifruit—further highlight the challenge of universal end-effector design. This review examines two major technical pathways: separation mechanisms and grasping strategies. Research has focused on how fruits are detached and how they can be securely held. Recent advances and limitations in both approaches are systematically analyzed. Most prototypes have achieved picking success rates exceeding 80%, with average cycle times reduced to 4–5 s per fruit. However, most designs remain at Technology Readiness Levels (TRLs) 3–5, with only a few reaching TRLs 6–7 in greenhouse trials. A dedicated section also discusses advanced technologies, including tactile sensing, smart materials, and artificial intelligence, which are driving the next generation of picking end-effectors. Finally, challenges and future trends for highly universal agricultural end-effectors are summarized. Humanoid picking hands represent an important direction for the development of universal picking end-effectors. The insights from this review are expected to accelerate the industrialization and large-scale adoption of robotic picking systems. Full article
Show Figures

Figure 1

Back to TopTop