
Academic Journal
Q1Precision Agriculture
About Precision Agriculture
Precision Agriculture is a scholarly journal published by Springer. SCImago 2025 lists it in Q1, with an SJR of 1.601 and H-index of 108.
Coverage: 1999-2026. Research categories: Agricultural and Biological Sciences (miscellaneous) (Q1).
Verified field sources
- Journal Impact Factor: 7.6 — Official source; checked 2026-10-03. Journal metric year and editorial leadership as listed on the Springer Nature journal homepage.
- Impact Factor year: 2025 — Official source; checked 2026-10-03. Journal metric year and editorial leadership as listed on the Springer Nature journal homepage.
- Editor(s): Davide Cammarano (Editor-in-Chief) — Official source; checked 2026-10-03. Journal metric year and editorial leadership as listed on the Springer Nature journal homepage.
Source-backed journal facts
Topics in published research
Remote Sensing in Agriculture; Smart Agriculture and AI; Soil Geostatistics and Mapping; Leaf Properties and Growth Measurement; Remote Sensing and LiDAR Applications; Spectroscopy and Chemometric Analyses.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Reported open-access list prices
4,190.00 USD; 3,190.00 EUR; 2,790.00 GBP
APC list prices reported by OpenAlex, which obtains this information from DOAJ. Confirm current charges, taxes, waivers and eligibility with the publisher; this is not a fee quotation.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
The nexus of formulation, application and digital technologies: very-low volume formulations as an enabler for future small, automated, precision application vehicles
Malcolm A. Faers, Emilia Hilz, Sybille Lamprecht, Xu Wang et al.
2026-12 · DOI: 10.1007/s11119-026-10460-4Multisensor data fusion from uav platforms: a robust approach for estimating photosynthetic capacity across vertical leaf layers in winter wheat
Dongwei Han, Shaolong Zhu, Muhammad Zain, Weijun Zhang et al.
2026-12 · DOI: 10.1007/s11119-026-10452-4Uncertainty propagation and intercomparison of multi-sensor measurements of vegetation stress in sub-optimal conditions
Mike Werfeli, Michal Antala, Abdallah Yussuf Ali Abdelmajeed, Álvaro Sánchez-Virosta et al.
2026-10 · DOI: 10.1007/s11119-026-10455-1An agronomically informed framework for temporally transferable yield prediction
Ricardo Canal Filho, José Paulo Molin, Patrick Filippi, Eudocio Rafael Otavio da Silva et al.
2026-10 · DOI: 10.1007/s11119-026-10454-2Factors influencing digital technology investments on French farms
Maha Ben Jaballah, Aude Ridier, Karine Daniel
2026-10 · DOI: 10.1007/s11119-026-10429-3Soil-driven variability in crop response to variable-rate seeding and fertilization in an irrigated maize–sunflower system
M. Videgain, J. A. Martínez-Casasnovas, S. Artero, A. Vigo et al.
2026-10 · DOI: 10.1007/s11119-026-10458-yA practical model and online tool to predict cover crop nitrogen content and carbon-to-nitrogen ratio via remote sensing
N. Kaur, C. White, A. Lefever, A. Thieme et al.
2026-10 · DOI: 10.1007/s11119-026-10434-6Multi-source data assimilation of Sentinel-2 reflectance and SMAP soil moisture into APSIM for maize biomass estimation
Manuela Montella, Christian Bossung, Thanh Huy Nguyen, Marco Chini et al.
2026-10 · DOI: 10.1007/s11119-026-10442-6A hybrid PCA and 1D-CNN approach with regional priors for accurate agricultural monitoring: a case study with EuroCropsML
Nourelhouda Groun, Kheir-Eddine Otmani
2026-10 · DOI: 10.1007/s11119-026-10449-zWheat yield prediction using machine learning, proximal sensing, nitrogen and climate data for Oklahoma
Meryem Maatougui, Steve Phillips, Samson Olaniyi Abiola, Daryl Brian Arnall et al.
2026-10 · DOI: 10.1007/s11119-026-10462-2Non-destructive nitrogen estimation in pastures from UAV multispectral imagery using a heterogeneity-driven machine-learning framework
Antonio de Oliveira Costa Neto, Yiannis Ampatzidis, Andrea Lazzari, Jim Fletcher et al.
2026-10 · DOI: 10.1007/s11119-026-10453-3Precision Diagnosis of Apple Leaf Diseases Across Infection Stages via Web-Based Analysis
Kangrui Han, Hao Cai, Kari Peter, Long He et al.
2026-10 · DOI: 10.1007/s11119-026-10451-5Field-scale prediction and spatial mapping of tractor tractive efficiency in tillage operations using machine learning
So-Yun Gong, Seung-Min Baek, Seung-Yun Baek, Yong-Joo Kim et al.
2026-10 · DOI: 10.1007/s11119-026-10443-5A deep learning-enhanced vision system for precision target spraying in chinese cabbage cultivation
Changxi Liu, Hang Shi, Hao Sun, Hui Zhang et al.
2026-10 · DOI: 10.1007/s11119-026-10444-4UAV-based rice nitrogen status monitoring using machine learning and deep learning
Xi Tao, Jiayi Zhang, Zhaopeng Fu, Xinye Xu et al.
2026-10 · DOI: 10.1007/s11119-026-10440-8Heterogeneous behaviours towards precision agriculture adoption among Italian winegrowers: insights from latent class analysis
Adriano Biondo, Antonino Galati, Francesco Caracciolo
2026-10 · DOI: 10.1007/s11119-026-10448-0Facilitating a future agricultural data ecosystem: a cross-sectoral review of blockchain application in data sharing
Younghoo Cho, Ziwen Yu, Yiannis Ampatzidis, Ju-Seok Nam et al.
2026-10 · DOI: 10.1007/s11119-026-10446-2In-season optical sensor-based variable-rate nitrogen management in maize production: a meta-analysis
Amrinder Jakhar, Gonzalo J. Scarpin, Lorena N. Lacerda, Brenda V. Ortiz et al.
2026-10 · DOI: 10.1007/s11119-026-10447-1Site-specific mechanical weeding robot with automatic self-adjustable individually controlled cultivator
Shafi Md. Istiak, Mohammad Aftabi Talami, James Y. Kim, Sulaymon Eshkabilov et al.
2026-10 · DOI: 10.1007/s11119-026-10445-3Integrating soil and canopy sensing to map and relate variability in tart cherry orchards
Kurt Wedegaertner, Brent Black, Anderson Safre, Alfonso Torres-Rua et al.
2026-10 · DOI: 10.1007/s11119-026-10436-4Reviews
Community Reviews
Version History
October 4, 2026 at 8:51 pm
September 25, 2026