Precision and Digital Agriculture
A section of Agronomy (ISSN 2073-4395).
Section Information
To improve the effectiveness, sustainability, and resilience of crop production and agronomic processes, a variety of digital and precision technologies—such as AI, IoT, deep learning, imaging, and machine learning—are being integrated into key areas such as soil and nutrient management, agronomic crop protection, plant breeding, post-harvest handling, and resource optimization. This section highlights research that translates these innovations into practical solutions for crop and yield prediction, production, and agronomic management. Preference is given to studies where digital and precision technologies are applied within the context of crop science and agronomic systems, rather than those focused primarily on algorithm development, robotics design, or hardware engineering, without clear agricultural relevance. Focused on bridging cutting-edge advancements in digital agriculture with real-world agronomic practices, this section welcomes original research, reviews, mini-reviews, perspectives, and methodology papers that support sustainable intensification, environmental stewardship, and greater resilience in crop production systems.
Keywords
- data-driven technologies
- artificial intelligence (AI)
- internet of things (IoT)
- deep learning
- machine learning
- imaging technology
- automation
- autonomous vehicles
- sensor networks
- remote sensing
- precision phenotyping
- crop and yield prediction and monitoring
- precision technology-driven integrated crop management.
Editorial Board
Topical Advisory Panel
Special Issues
Following special issues within this section are currently open for submissions:
- Advances in Precision Pesticide Spraying Technology and Equipment (Deadline: 12 March 2026)
- Digital Twin and AI-Enhanced Simulation in Agricultural Systems (Deadline: 25 March 2026)
- Revolutionizing Crop Management: Integrating UAV Technology for Precision Agriculture (Deadline: 31 March 2026)
- Smart Farming Technologies for Sustainable Agriculture—2nd Edition (Deadline: 31 March 2026)
- Precision Crop Farming: Innovations in Sustainable Crop Monitoring and Management (Deadline: 31 March 2026)
- Crop Production in the Era of Climate Change (Deadline: 31 March 2026)
- Artificial Intelligence as a Support for Forecasting in Sustainable Agriculture (Deadline: 31 March 2026)
- The Revision of Production Potentials and Yield Gaps in Field Crops (Deadline: 31 March 2026)
- Crop Nutrition Diagnosis and Efficient Production (Deadline: 15 April 2026)
- Novel Studies in High-Performance and Smart Plant Protection Products Application—3rd Edition (Deadline: 30 April 2026)
- Artificial Intelligence and Human–Computer Interactions in Agricultural Production (Deadline: 30 April 2026)
- Crop Monitoring and Yield Prediction for Arid and Semi-Arid Farming Systems (Deadline: 1 May 2026)
- Next-Generation Crop Management: Bridging AI Vision and Sensor Fusion for Smarter Agronomy (Deadline: 15 May 2026)
- Digital Twins in Precision Agriculture (Deadline: 20 May 2026)
- Precision Monitoring of Crops and Pastures Using UAV, Satellite, and Sensor Technologies (Deadline: 31 May 2026)
- Advanced Sensing and AI for Crop Nutrient Management and Stress Detection (Deadline: 31 May 2026)
- Smart Farming: Advancing Techniques for High-Value Crops (Deadline: 31 May 2026)
- Sky Guardians of Agriculture: Drones for Efficient Plant Health Surveillance (Deadline: 31 May 2026)
- Sustainable Precision Agriculture with Wireless Sensor Networks in Crop Monitoring Aligned with SDGs (Deadline: 15 June 2026)
- Digital Agricultural Systems for Orchard and Vineyard Management (Deadline: 20 June 2026)
- Advances in Soil and Water Sensor Technologies for Precision Agriculture and Environmental Monitoring (Deadline: 25 June 2026)
- Remote Sensing and GIS in Sustainable and Precision Agriculture (Deadline: 30 June 2026)
- Advancements in Precision Fertilization and Water Management for Sustainable Agriculture (Deadline: 30 June 2026)
- Harnessing Sensing, Artificial Intelligence, and Robotics for Digital Agriculture (Deadline: 30 June 2026)
- Vegetation Remote Sensing for Sustainable Water and Nutrient Management in Agriculture (Deadline: 15 July 2026)
- Machine Learning for Genetic Data Analysis and Precision Crop Breeding (Deadline: 15 July 2026)
- Intelligent Detection of Crop Growth Phenotyping Toward Sustainability: Sensors, IoT Technologies and Signal Processing (Deadline: 15 July 2026)
- Innovations in Agriculture for Sustainable Agro-Systems (Deadline: 15 July 2026)
- Advances in Remote Sensing Agronomic Application for Mapping and Modeling Soil Properties (Deadline: 20 July 2026)
- Research Progress in Agricultural Robots in Arable Farming (Deadline: 20 July 2026)
- Remote Sensing Diagnosis and Intelligent Decision-Making for Water and Nitrogen Physiology of Crops (Deadline: 20 July 2026)
- Application of Deep and Machine Learning in Crop Monitoring and Management—2nd Edition (Deadline: 31 July 2026)
- Intelligent Sensing and Machine Learning for Crop Maturity and Harvest Quality Assessment (Deadline: 31 July 2026)
- Spectroscopy in Modern Agriculture: Current Achievements, Challenges, and Future Perspectives (Deadline: 31 July 2026)
- Application of Machine Learning and Modelling in Food Crops (Deadline: 31 July 2026)
- Smart Agriculture: Cloud Data Control Platform (Deadline: 31 July 2026)
- Current Status and Applications of Remote Sensing in Plant Pest and Disease Detection (Deadline: 31 July 2026)
- Intelligent Detection and Classification of External Traits in Crop Plants, Fruits, and Vegetables (Deadline: 15 August 2026)
- Application and Innovation of Digital Technologies in Controlled Environment Agriculture (Deadline: 25 August 2026)
- Robotics and Automation in Farming—2nd Edition (Deadline: 28 August 2026)
- Remote Sensing Assessment of Soil and Crop Health Under Varying Agronomic Practices (Deadline: 31 August 2026)
- Advanced Spectral Remote Sensing for Smart Crop Monitoring in Agriculture and Horticulture (Deadline: 31 August 2026)
- AI, Machine Vision, and Navigation Technologies for Rice and Wheat Cultivation (Deadline: 31 August 2026)
- Advanced Machine Learning in Agriculture—2nd Edition (Deadline: 31 August 2026)
- Artificial Neural Network-Based Methods in Agriculture (Deadline: 20 September 2026)
- Precision Agriculture and Crop Models for Climate Change Adaptation (Deadline: 30 September 2026)
- Robotics for Agricultural Production (Deadline: 30 September 2026)
- Agricultural Imagery and Machine Vision (Deadline: 30 September 2026)
- Smart Orchard Equipment: Advances in Precision Management Technologies (Deadline: 30 September 2026)
- Modeling for Risk Assessment of Crop Health and Yield Prediction (Deadline: 30 September 2026)
- Enhancing Generalization in Agricultural AI: Bridging Data Gaps and Boosting Model Robustness (Deadline: 15 October 2026)
- Smart Agriculture for Crop Phenotyping (Deadline: 20 October 2026)
- Precision Spray Application Technologies in Fruit Crops for Efficient and Sustainable Production (Deadline: 25 October 2026)
- Next-Generation Pesticide Application Technologies: Precision, Safety and Environmental Sustainability (Deadline: 31 October 2026)
- Agricultural Monitoring and Yield Assessment Through Remote Sensing and GIS (Deadline: 10 November 2026)
- Precise Management of Crop Growth Environment in Agricultural Greenhouses (Deadline: 30 November 2026)
Topical Collections
Following topical collections within this section are currently open for submissions:
