Information Processing in Agriculture

SJR Rank #3,442H-index: 69SJR: 1.240Best quartile: Q1Open Access (Diamond, no APC)APC: US$2,000Listed in DOAJ
Journal website: aims, scope and author guidelines
Publisher

China Agricultural University

Country

China

Type

journal

SJR by Edition

2022202500.350.71.051.4

Subject Categories

  • Agronomy and Crop ScienceQ1
  • Animal Science and ZoologyQ1
  • Aquatic ScienceQ1
  • Computer Science ApplicationsQ1
  • ForestryQ1

Areas: Agricultural and Biological Sciences · Computer Science

Most published research topics

Smart Agriculture and AISpectroscopy and Chemometric AnalysesRemote Sensing in AgricultureGreenhouse Technology and Climate ControlLeaf Properties and Growth MeasurementWater Quality Monitoring TechnologiesDiverse Scientific and Economic StudiesHuman auditory perception and evaluationEducational Robotics and EngineeringAdvanced Chemical Sensor Technologies

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs03570105140

Documents per Year

202220250255075100

Detailed Information

ISSN

2097-0153, 2214-3173

SJR Best Quartile

Q1

Region

Asiatic Region

Citations per Document (2 years)

9.68

References per Document

57.89

Coverage

2014-2026

Scope

Information Processing in Agriculture (IPA) was established in 2013 to encourage the development of science and technology related to information processing in agriculture, through the following aims: • Promote the use of knowledge and methods from information processing technologies in agriculture; • Report on experiences and publications of institutes, universities, and government, as well as profitable technologies for agriculture; • Provide a platform and opportunities for exchanging knowledge, strategies, and experiences among information processing researchers worldwide; • Promote and encourage interactions among agriculture scientists, meteorologists, biologists (pathologists/entomologists), information technology professionals, and other stakeholders to develop and implement methods, techniques, and tools related to information processing technology in agriculture; • Create and promote expert groups for the development of agro-meteorological databases, crop and livestock modeling, and applications for the development of crop performance-based decision support systems.

Metrics from SCImago Journal Rank 2025. View on SCImago