Precision Agriculture

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Overview

Precision agriculture studies how to sense variation within fields and use it to tailor decisions such as irrigation, fertilization, pest control, and harvest timing. Common approaches combine satellite and UAV imagery, field and IoT sensors, and crop or weather data with computer vision, time-series learning, crop models, and spatial analytics; autonomous tractors and spraying robots turn estimates into site-specific actions. Work also explores uncertainty-aware decision support, edge AI, and language-model or reinforcement-learning agents, evaluated on image benchmarks, cross-season and cross-site tests, and field trials. A central challenge is moving beyond high in-domain prediction scores: domain shifts, sparse labels, connectivity limits, and uncertain economics can undermine recommendations, making robust validation and measurement of yield, input use, and profit essential.

Latest papers

CardsList

63 papers12 papers in the last four weeks, up 9% on the four weeks before. 0.1% of all new papers.

  1. One-Time Training for All Grains: Open-Set Grain Recognition and Quantitative Analysis

    Aug 10, 2026Qihe Su, Mengyu Sun, Yuxi Ke +4Plant PhenotypingObject Counting

    National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China · College of Engineering, Huazhong Agricultural University, Wuhan, 430070, China · Engineering Research Center of Intelligent Technology for Agriculture, Ministry of Education +1

  2. AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining

    Aug 8, 2026Vasileios Tzouras, Paraskevas Pegios, Lazaros NalpantidisAgricultural Image AnalysisMasked Autoencoders

    Technical University of Denmark (DTU), Kongens Lyngby, Denmark · Pioneer Centre for Artificial Intelligence, Copenhagen, Denmark

  3. 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

  4. Design and Evaluation of an AI-Enabled Cloud-Edge Architecture for Connected Precision Agriculture Farms

    Aug 4, 2026Deckshitha Angadi, Koteshwar Goud Surga, Nagaraju Lakkaraju +6Plant Disease ClassificationEdge Computing

    AI, IoT and Robotics Lab (AIR Lab), UAVs Group, Autonomous Robotics Systems Limited, Hyderabad, India · Department of Microelectronics and VLSI Design, University of Hyderabad, Hyderabad, India · Department of Artificial Intelligence, ThoughtGreen Technologies Private Limited, Hyderabad, India +6

  5. Forecasting the Number of Harvest-ready Fruits of Sweet Peppers Using Multimodal Time-Series Data

    Jul 22, 2026Enrico Pallotta, Mohamed Farag, Esra Guclu +3Multivariate Time Series ForecastingPlant Phenotyping

    University of Bonn, Bonn, Germany · Lamarr Institute for Machine Learning and Artificial Intelligence, Bonn, Germany · CSIRO, Pullenvale, Australia

  6. CGMap: A Geospatially Aware Deep Learning Framework for Crop Gap Mapping Using UAV

    Jul 21, 2026Karan Sharma, Rajiv Ranjan, Dinesh Kumar +1Agricultural Remote SensingPrecision Agriculture

    Robotics and Autonomous Systems, Plaksha University, Mohali, India

  7. Early Yield Prediction for Sugar Beet Fields using Satellite Data -- Learnings from Specialized Vision Transformers

    Jul 20, 2026Philipp Vaeth, Bhumika Laxman Sadbhave, Denise Dejon +2Agricultural Remote SensingVision Transformer

    Center for Artificial Intelligence and Robotics, Technical University of Applied Sciences Wuerzburg-Schweinfurt, Franz-Horn-Strasse 2, Wuerzburg, Germany · Bielefeld University, Universitaetsstrasse 25, Bielefeld, Germany · green spin GmbH, Magdalene-Schoch-Strasse 5, Wuerzburg, Germany

  8. Improving path-tracking performance of an articulated tractor-trailer system using a non-linear kinematic model

    Jun 30, 2026Marina Murillo, Guido Sanchez, Nestor Deniz +2Precision Agriculture

    Research Institute for Signals, Systems and Computational Intelligence, sinc(i), FICH-UNL/CONICET, Ciudad Universitaria UNL, 4◦piso FICH, (S3000) Santa Fe, Argentina.

  9. An iterative energy-based multimodal transformer for joint retrieval of wheat soil moisture, leaf area index, and plant height from Sentinel-1 and Sentinel-2 time series

    Jun 23, 2026Shubham Kumar Singh, Peilei Fan, Suraj A. Yadav +2Agricultural Remote SensingTransformer

    Department of Urban and Environmental Policy and Program, Tufts University, 503 Boston Ave., Medford, MA 02155 · Electrical and Computer Engineering Department, Mississippi State University, Mississippi, USA, 39762 · Department of Physics, Indian Institute of Technology (BHU), Varanasi, India 221005 +1

  10. AgroSense 2.0: Cross-Modal Transformer Fusion with Geospatial Raster Integration and Interpretable Multi-Task Learning for Precision Crop Recommendation

    Jun 20, 2026Vishal Pandey, Rishav Tewari, Ruzina Haque LaskarMultimodal FusionPrecision Agriculture

    Research Engineer London, UK · Independent Researcher Kolkata, IN · Scientist-B Centre for Development of Telematics Delhi, IN

  11. As You Wish: Mission Planning with Formal Verification using LLMs in Precision Agriculture

    Jun 16, 2026Marcos Abel Zuzuárregui, Stefano CarpinLarge Language Model-Based Robot PlanningFormal Verification

    Department of Computer Science and Engineering, University of California, Merced, CA, USA

  12. Enhancing Precision Agriculture with a Hybrid Deep Learning Framework for Multi-Class Plant Disease Classification and Interpretability

    Jun 13, 2026Hasibul Islam Sufi, Ridam Roy, Shayla Alam Setu +1Plant Disease ClassificationHybrid CNN-Transformer Architectures

    Department of Computer Science and Engineering, Daffodil International University, Dhaka 1216, Bangladesh

  13. Multi-UAV Active Sensing with Information Gain-based Planning and Belief Fusion

    Jun 9, 2026S. Habibi, L. MarquesInformative Path PlanningActive Sensing

    Institute of Systems and Robotics University of Coimbra, 3030-290 Coimbra, Portugal

  14. Crop Recommendation and Agricultural Query Answering System Using Spatio-Temporal Graph Neural Networks and Hybrid Retrieval Augmentation

    Jun 8, 2026Prajwal Thapa, Yagya Raj PandeyaQuestion AnsweringPrecision Agriculture

    Kathmandu University Dhulikhel, Nepal

  15. USU-Corn-WeedDB: A UAV RGB Image Dataset for Multi-Species Weed Detection in Forage Corn

    Jun 4, 2026Utsav Bhandari, Saroj Burlakoti, Rhonda Miller +3Agricultural Image AnalysisWeed Detection

    Department of Applied Sciences, Technology, and Education, Utah State University, Logan, UT, USA · Department of Plants, Soils & Climate, Utah State University, Logan, UT, USA · Department of Civil and Environmental Engineering, Utah State University, Logan, UT, USA

  16. Learning Parametric Nitrogen Fertilizer Response Curves Using Neuro Symbolic Regression

    May 29, 2026Giorgio Morales, John SheppardPrecision AgricultureSymbolic Regression

    Aston Centre for Artificial Intelligence Research and Application, Aston University, Birmingham, UK · Gianforte School of Computing, Montana State University, Bozeman, US

  17. Progressive Generalization Augmentation with Deeply Coupled RND-PPO and Domain-Prioritized Noise Injection for Robust Crop Management Reinforcement Learning

    May 17, 2026Wu YangReinforcement LearningProximal Policy Optimization

    Chongho Bridge Group Limited

  18. ReLeaf: Benchmarking Leaf Segmentation across Domains and Species

    May 5, 2026Robert Martinko, Daniel Steininger, Julia Simon +2Agricultural Image AnalysisInstance Segmentation

    1AIT Austrian Institute of Technology, Center for Vision, Automation & Control · University of Applied Sciences Technikum Wien, Computer Science & Applied Mathematics

  19. Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation

    Apr 7, 2026Shijie Wang, Zijian Wang, Yadan Luo +3Image SegmentationPromptable Image Segmentation

    The University of Queensland, Australia · The University of Adelaide, Australia

  20. An Explainable Ensemble Learning Framework for Crop Classification with Optimized Feature Pyramids and Deep Networks

    Mar 26, 2026Syed Rayhan Masud, SK Muktadir Hossain, Md. Ridoy Sarkar +3Ensemble LearningPrecision Agriculture

    Department of Computer Science & Engineering, American International University-Bangladesh, Dhaka, Bangladesh · EliteLab.AI, Queens,NY, U.S.A · Department of Computer Science & Engineering, Begum Rokeya University, Rangpur,Bangladesh

  21. Architecture for Multi-Unmanned Aerial Vehicles based Autonomous Precision Agriculture Systems

    Mar 22, 2026Ebasa Temesgen, Nathnael Minyelshowa, Lebsework NegashPrecision AgricultureAgricultural Robotics

    University of Minnesota · Addis Ababa Institute of Technology (AAiT)

  22. A Hybrid Modeling Framework for Crop Prediction Tasks via Dynamic Parameter Calibration and Multi-Task Learning

    Mar 16, 2026William Solow, Paola Pesantez-Cabrera, Markus Keller +3Precision Agriculture

    Oregon State University · Washington State University

  23. Affordable Precision Agriculture: A Deployment-Oriented Review of Low-Cost, Low-Power Edge AI and TinyML for Resource-Constrained Farming Systems

    Mar 16, 2026Riya Samanta, Bidyut SahaEdge MLTiny ML

    Techno India University, Salt Lake, West Bengal, India · Sister Nivedita University, Newtown, West Bengal, India

  24. STAG-CN: Spatio-Temporal Apiary Graph Convolutional Network for Disease Onset Prediction in Beehive Sensor Networks

    Mar 15, 2026Sungwoo KangSpatiotemporal GNNsPrecision Agriculture

    Department of Electrical and Computer Engineering, Korea University, Seoul, Republic of Korea

  25. Retrieval-Augmented Multi-scale Framework for County-Level Crop Yield Prediction Across Large Regions

    Mar 7, 2026Yiming Sun, Qi Cheng, Licheng Liu +3Crop Yield PredictionSpatiotemporal Forecasting

    University of Pittsburgh, Pittsburgh, PA, USA · University of Wisconsin-Madison, Madison, WI, USA · University of Alabama, Tuscaloosa, AL, USA +1

  26. Multi-label Instance-level Generalised Visual Grounding in Agriculture

    Mar 5, 2026Mohammadreza Haghighat, Alzayat Saleh, Mostafa Rahimi AzghadiVisual GroundingAgricultural Image Analysis

    College of Science and Engineering, James Cook University, Townsville, QLD, Australia · Centre for AI and Data Science Innovation, James Cook University, Townsville, QLD, Australia

  27. Reflectance Multispectral Imaging for Soil Composition Estimation and USDA Texture Classification

    Feb 26, 2026G. A. S. L Ranasinghe, J. A. S. T. Jayakody, M. C. L. De Silva +5Agricultural Remote SensingClassification

    Department of Electrical and Electronic Engineering, University of Peradeniya, Peradeniya 20400, Sri Lanka · Multidisciplinary AI Research Center, University of Peradeniya, Peradeniya 20400, Sri Lanka · Department of Electrical and Information Engineering, University of Ruhuna, Hapugala, Galle 80000, Sri Lanka +1

  28. Communication-Guided Multi-Mutation Differential Evolution for Crop Model Calibration

    Feb 26, 2026Sakshi Aggarwal, Mudasir Ganaie, Mukesh SainiDifferential EvolutionModel Calibration

  29. DINOv3 Meets YOLO26 for Weed Detection in Vegetable Crops

    Feb 25, 2026Boyang Deng, Yuzhen LuWeed DetectionPrecision Agriculture

    Department of Biosystems & Agricultural Engineering, Michigan State University East Lansing, MI 48824

  30. Towards Data-driven Nitrogen Estimation in Wheat Fields using Multispectral Images

    Feb 24, 2026Andreas Tritsarolis, Tomaž Bokan, Matej Brumen +2Precision AgricultureAgricultural Remote Sensing

    Department of Informatics, University of Piraeus, Piraeus, Greece · Innovation Technology Cluster, Murska Sobota, Slovenia · Department of Electrical Enginnering & Computer Science, University of Maribor, Maribor, Slovenia