International Journal of Agricultural and Environmental Information Systems

Aims & Scope

The International Journal of Agricultural and Environmental Information Systems (IJAEIS) presents high quality research papers on the design and implementation of information systems in the fields of agronomics, mathematics, computer science, and the environment.

IJAEIS provides the latest innovative technologies in the construction of complex information systems and discusses the analysis, visualization, management, and dissemination of information, as well as the effective integration of agricultural and environmental information systems.

The mission of the International Journal of Agricultural and Environmental Information Systems (IJAEIS) is to provide holistic approaches to the design, development, and implementation of complex agricultural and environmental information systems, addressing the integration of several scientific domains such as agronomy, mathematics, economics, and computer science.

Targeting professors, researchers, academicians, and environmentalists, IJAEIS provides a forum for innovative findings in the development of applied software engineering and environmental information systems.

View Aims & Scope

---

Metrics & Ranking

Impact Factor

Year	Value
2025	0.4
2024	1.30

Journal Rank

Year	Value
2024	15478

Journal Citation Indicator

Year	Value
2024	106

SJR (SCImago Journal Rank)

Year	Value
2024	0.338

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	22

---

---

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

---

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

---

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• The Role of Crop Systems Simulation in Agriculture and Environment

  Citation: 71

  Authors: K.J., J.W., G., J.W.

• IoT-Based Framework for Smart Agriculture

  Citation: 63

  Authors: Jian, Amit, Rajeev

• Agricultural Recommendation System for Crops Using Different Machine Learning Regression Methods

  Citation: 59

  Authors: Mamata, Goutam, Sachi Nandan, Alok Kumar

• IoT-Based Intelligent Irrigation System for Paddy Crop Using an Internet-Controlled Water Pump

  Citation: 50

  Authors: Brij Bhushan, Nagesh

• Models of Urban Land Use in Europe

  Citation: 45

  Authors: Bernardino, Francesco

• Urban Versus Rural

  Citation: 41

  Authors: Beniamino, Maria

• Service Path Attribution Networks (SPANs)

  Citation: 41

  Authors: Gary W., Kenneth J., Robert R., Ferdinando

• Quantifying Urban Sprawl with Spatial Autocorrelation Techniques using Multi-Temporal Satellite Data

  Citation: 34

  Authors: Gabriele, Rosa, Antonio, Beniamino

• Land Use, Economic Welfare and Property Values

  Citation: 34

  Authors: Pierluigi, Francesco, Marco

• Hedonic Analysis of Housing Sales Prices with Semiparametric Methods

  Citation: 33

  Authors: Vincenzo, Benedetto, Pierfrancesco

---