Agricultural Remote Sensing

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Overview

Agricultural remote sensing turns satellite, aircraft, and UAV imagery into information about crops, field boundaries, soil conditions, and farm practices. Common approaches combine optical and radar time series with weather or terrain data, using methods such as U-Net-style segmentation, temporal transformers, tree-based models, and self-supervised learning. Applications include crop-type and parcel mapping, yield forecasting, and detection of weeds, disease, water stress, and nutrient status. A central challenge is reliable transfer across regions, years, sensors, and crop stages, especially when reference labels are noisy or scarce and foundation-model features do not consistently improve generalization.

Latest papers

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85 papers8 papers in the last four weeks, up 60% on the four weeks before. 0.0% of all new papers.

  1. Ground-to-Satellite Knowledge Distillation for Crop Classification under Temporal and Geographic Shift

    Oct 27, 2026Miro Miranda, Rocco Sedona, Valerio Marsocci +2Agricultural Remote SensingKnowledge Distillation

    Jülich Supercomputing Centre, Forschungszentrum Jülich, Germany · European Space Agency (ESA/ESRIN), Italy · University of Iceland, Iceland +1

  2. Evaluating AlphaEarth Embeddings for Crop Classification: Separability, Temporal Dynamics, and Cross-Regional Transferability

    Oct 27, 2026Priyanka Goyal, Maitreyee Sar, Adway Mitra +1Agricultural Image AnalysisAgricultural Remote Sensing

    Department of Artificial Intelligence, Indian Institute of Technology Kharagpur, West Bengal, India · Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, India · Tata Consultancy Services Research, Kolkata, India

  3. AgriDefend: A $205 Offline Edge Device that Detects Crop Stress Before Visible Symptoms via Multimodal AI Fusion

    Oct 26, 2026George Xu, Nikhil Vincent, Elizabeth S. ForbesPrecision AgricultureAgricultural Remote Sensing

    Independent Researcher Bothell, WA, USA · Univ. of Michigan, School for Environment and Sustainability Ann Arbor, MI, USA

  4. A Flexible ROI Analysis Tool for Spatially Consistent Vegetation Index Extraction from Turfgrass Imagery

    Oct 19, 2026Kibon Ku, Thai Thanh Tuan, Jinhyun AhnAgricultural Remote SensingPlant Phenotyping

    Department of Electrical and Computer Engineering, Iowa State University, Ames, IA 50011, USA · Department of Plant Resources and Environment, Jeju National University, Jeju 63243, Republic of Korea · Multimedia Communications Laboratory, University of Information Technology, Ho Chi Minh city 70000, Vietnam +2

  5. ADA 2025: A Multimodal Dataset for Water-Deficit Stress Detection in Sugar Beets

    Oct 16, 2026Piper Powell, Robert Franz, Amos Smith +3Multimodal DatasetAgricultural Remote Sensing

    Institute of Computer Science, Osnabrück University, Osnabrück, Germany · German Research Center for Artificial Intelligence (DFKI), Osnabrück, Germany

  6. Agronomic Characterization and Time-Series UAV Phenotyping to Support Field Pea Breeding in Iowa

    Oct 13, 2026Yanben Shen, Joscif Raigne, Asheesh Singh +1Plant PhenotypingAgricultural Remote Sensing

    Department of Agronomy, Iowa state univeristy, Ames, U.S.A

  7. A Swarm-Coordinated Multi-Robot System for Early Stress Detection in Agricultural Rows Using Multimodal Leaf Sensing

    Oct 6, 2026Rishi Gupta, Astha Goyal, Vinay VishwakarmaPlant Disease ClassificationAgricultural Remote Sensing

    Delhi Public School Vasant Kunj, New Delhi, India · Assistant Professor, University of Delhi · Mentor, On My Own Technology Pvt. Ltd, Mumbai, India

  8. Calibrated Weak Supervision for Post-Harvest Burned-Cropland Mapping Under Label Scarcity

    Oct 4, 2026Raunak Bhagate, Maitri Polisetty, R I MinuPost-Hoc CalibrationAgricultural Remote Sensing

    SRM Institute of Science & Technology

  9. Cropland PAtteRNS: Parallel Dimensional Attention Networks and Attention to Dataset Disparity for Crop Segmentation in Satellite Imagery Time Series Data

    Sep 29, 2026Joseph Metcalfe, Sara Sharifzadeh, Fabio CaraffiniRemote Sensing Image SegmentationAgricultural Remote Sensing

    Department of Computer Science, Swansea University, Swansea, SA1 8EN, United Kingdom

  10. A Dual-Track Curation-and-Classification Framework for Resolving Ground-Truth Label Noise in Operational Sentinel-2 Wheat Area Estimation

    Sep 29, 2026Kasimali Agharia, Ujjwal Kumar GuptaAgricultural Image AnalysisAgricultural Remote Sensing

    Space Applications Centre (SAC), Indian Space Research Organisation (ISRO)

  11. When Should a Satellite Estimate Be Changed? Stress-Testing Neural Corrections for Evapotranspiration

    Sep 28, 2026Marco TrottaAgricultural Remote SensingNeural Network Robustness

    Irrigant, Idaho, USA

  12. Transferability and operational reliability of a Prithvi crop classification foundation model under phenological and geographic shift across three continents

    Sep 20, 2026Venkatesh Kolluru, Rajat Shinde, Abdelhak Marouane +7Geospatial Foundation ModelsOOD Generalization

    Earth System Science Center, University of Alabama in Huntsville, Huntsville, AL 35899, USA · Space and Earth Science Data Analysis · NASA Marshall Space Flight Center

  13. AgroBench: A Reproducible Multimodal Benchmark for Weakly Supervised Crop Yield Learning from County Statistics and Pixel Observations

    Sep 16, 2026Udaiveer Singh, Rajiv Ranjan, Shashank Tamaskar +1Multi-Angular Remote SensingRemote Sensing Benchmarks

    Plaksha University, Mohali, Punjab, India · Purdue University, West Lafayette, Indiana, USA

  14. From Foundation Embeddings to Cropland Maps: Label Efficiency, Temporal Transferability and Independent Human Validation

    Sep 15, 2026Mohammad Ammar Mughees, Giovanni Montefoschi, Zhongxin Chen +1Agricultural Remote SensingGeospatial Foundation Models

    Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy · Food and Agriculture Organization of the United Nations, Rome, Italy

  15. JEDI: JEPA-to-Edge Distillation for Efficient Cropland Segmentation from Satellite Imagery

    Sep 7, 2026Kishor Kumar Bhaumik, Nicolas Roque dos Santos, Jia Chen +1Remote Sensing Image SegmentationAgricultural Remote Sensing

    University of California, Riverside

  16. Foundation Models Meet Agriculture: Challenges Beyond Pretraining

    Aug 31, 2026Vishal Nedungadi, Xingguo Xiong, Marc Rußwurm +1Agricultural Remote SensingGeospatial Foundation Models

    Artificial Intelligence and Plant Science Group Wageningen University and Research Wageningen, Netherlands · Institute of Digital Agriculture Zhejiang Academy of Agricultural Sciences Hangzhou, China · Machine Learning in Earth Observation Lab University of Bonn Bonn, Germany

  17. Remote Human-Robot Interaction In Greenhouses via Virtual Reality: How Plant Canopy Structure Affects Leaf Disease and Soil Moisture Inspection

    Aug 27, 2026Daniel Udekwe, Hasan SeyyedhasaniRobotic InspectionHuman-Robot Interaction

    School of Plant and Environmental Science, Virginia Tech, Blacksburg VA, USA

  18. Detection of Christmas tree plantations from high-resolution aerial imagery. A case study in the French Morvan

    Aug 27, 2026Francesca Razzano, Emanuele Dalsasso, Adrien Baysse-Lainé +3Remote Sensing Image SegmentationLand Cover Classification

    Engineering Department, University of Naples Parthenope, Naples, Italy · INRIA, Grenoble, France · CNRS Délégation Alpes: Grenoble, Auvergne-Rhône-Alpes, France +1

  19. Embedding NDRE Trajectories into Contrastive Learning for Label-Free, Physiology-Aware Crop-Stress Staging and DSS Outputs

    Aug 26, 2026Shafqaat AhmadAgricultural Remote SensingPrecision Agriculture

    Data Scientist, Brandt Group of Companies, Canada.

  20. Synthetic Data Augmentation for Satellite-Based Analysis of Battle-Damaged Agricultural Fields in Ukraine

    Aug 17, 2026Marta Sumyk, Oleksandr Kosovan, Iryna VoitsitskaSynthetic Data AugmentationRemote Sensing Image Understanding

    Ukrainian Catholic University, Lviv, Ukraine

  21. Learning to Forecast Crop Growth from Earth Observation Data

    Aug 14, 2026Dominik Senti, Mehmet Ozgur Turkoglu, Michele Volpi +1Sequence-to-Sequence ModelsAgricultural Remote Sensing

    Earth Observation of Agroecosystems Team, Agroscope, Switzerland · Swiss Data Science Center, ETH Zurich and EPFL, Switzerland

  22. A Remote Approach to Cashew Orchard Detection: Leveraging Active Learning with Satellite Imagery in Guinea-Bissau

    Aug 12, 2026Miguel Pereira, Sofia C. Pereira, Maria J. P. Vasconcelos +3Agricultural Remote Sensing

  23. SAR2Agri: Learning SAR Intensity Representations for Agricultural Monitoring

    Aug 11, 2026Moti Rattan Gupta, Anupam SobtiRepresentation LearningAgricultural Remote Sensing

    Plaksha University, Mohali, Punjab, India

  24. SwissCrop25: A National Multi-Year Benchmark for Operational Crop Mapping

    Aug 10, 2026Thomas Lauber, Mehmet Ozgur Turkoglu, Sélène Ledain +1Agricultural Remote SensingLand Cover Classification

    Earth Observation of Agroecosystems Team, Agroscope, Switzerland

  25. Integrating spectral and morphological plant features with decision-tree models for early-season cotton biomass and nitrogen status estimation from multi-year UAV data

    Aug 7, 2026Vaishali Swaminathan, Nithya Rajan, J Alex Thomasson +4Agricultural Remote SensingUAV Remote Sensing

    Department of Biological and Agricultural Engineering, Texas A&M University, College Station, Texas, USA. · Utah Water Research Laboratory, Utah State University, Logan, Utah, USA. · Depart of Soil and Crop Sciences, Texas A&M University, College Station, Texas, USA. +3

  26. Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality

    Aug 6, 2026Syed Roshaan Ali Shah, Kasper Bonte, David Bekaert +2Agricultural Image AnalysisAgricultural Remote Sensing

    VITO Remote Sensing, Mol, Belgium

  27. TRNet: Topography-Guided Frequency Rectification and Structure-Aware Decoding for Multimodal Paddy Rice Segmentation

    Aug 4, 2026Kaiwen Xiao, Chunlong Fu, Liping Zheng +1Agricultural Image AnalysisRemote Sensing Image Segmentation

    School of Computer Science, Sichuan University Jinjiang College, Meishan 620860, China

  28. UAV3DCrop: Benchmarking 3D Reconstruction in Repeated Multi-Angle UAV Crop Surveys

    Aug 3, 2026Junxiong Zhou, Xuechen Li, Chonghao Qiu +11Agricultural Remote Sensing3D Reconstruction

    University of Minnesota, Twin Cities, USA · University of Pittsburgh, USA · Max Planck Institute for Biogeochemistry, Germany +3

  29. PhenoStitch: Training-Free Panoptic Crop Mapping from Satellite Image Time Series

    Aug 1, 2026Xuechen LiPanoptic SegmentationAgricultural Remote Sensing

    University of Minnesota Minneapolis, MN, USA

  30. Space2Ground 2.0: A Multi-Source Dataset and Framework for Agricultural Monitoring through Fusion of Street-Level and Satellite Imagery

    Jul 30, 2026Iason Tsardanidis, Alkiviadis Koukos, George Choumos +2Agricultural Image AnalysisAgricultural Remote Sensing

    Operational Unit BEYOND Centre, IAASARS, National Observatory of Athens, Athens, Greece · DHI Water & Environment, Hørsholm, Denmark · Artificial Intelligence Group, Wageningen University & Research, The Netherlands