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:
- Agricultural Environment and Intelligent Plant Protection Equipment—2nd Edition (Deadline: 15 October 2025)
- Precision Operation Technology and Intelligent Equipment in Farmland—3rd Edition (Deadline: 15 October 2025)
- Precision Monitoring of Crops and Pastures Using UAV, Satellite, and Sensor Technologies (Deadline: 30 October 2025)
- Sustainable Precision Agriculture with Wireless Sensor Networks in Crop Monitoring Aligned with SDGs (Deadline: 31 October 2025)
- Remote Sensing Applications in Crop Monitoring and Modelling—2nd Edition (Deadline: 5 November 2025)
- Intelligent Information System for Agriculture Based on Vision Technology (Deadline: 15 November 2025)
- Unmanned Farms in Smart Agriculture—2nd Edition (Deadline: 15 November 2025)
- Harnessing Sensing, Artificial Intelligence, and Robotics for Digital Agriculture (Deadline: 15 November 2025)
- Current Status and Applications of Remote Sensing in Plant Pest and Disease Detection (Deadline: 30 November 2025)
- Smart Farming: Advancing Techniques for High-Value Crops (Deadline: 30 November 2025)
- Advanced Machine Learning in Agriculture—2nd Edition (Deadline: 30 November 2025)
- Imaging Technology for Detecting Crops and Agricultural Products—3rd Edition (Deadline: 5 December 2025)
- Artificial Intelligence in Greenhouse Environment Modelling and Control (Deadline: 10 December 2025)
- Innovations in Agriculture for Sustainable Agro-Systems (Deadline: 15 December 2025)
- Smart Agriculture for Crop Phenotyping (Deadline: 20 December 2025)
- Intelligent Detection of Crop Growth Phenotyping Toward Sustainability: Sensors, IoT Technologies and Signal Processing (Deadline: 31 December 2025)
- Advancements in Precision Fertilization and Water Management for Sustainable Agriculture (Deadline: 31 December 2025)
- Application of Machine Learning and Modelling in Food Crops (Deadline: 31 December 2025)
- Advances in Remote Sensing Agronomic Application for Mapping and Modeling Soil Properties (Deadline: 31 December 2025)
- Smart Farming Technologies for Sustainable Agriculture—2nd Edition (Deadline: 31 December 2025)
- Transforming Agriculture Through Industrial Informatics and Emerging Technologies (Deadline: 31 December 2025)
- Enhancing Generalization in Agricultural AI: Bridging Data Gaps and Boosting Model Robustness (Deadline: 31 December 2025)
- Application of Artificial Intelligence in Crop Monitoring (Deadline: 31 December 2025)
- Intelligent Detection and Classification of External Traits in Crop Plants, Fruits, and Vegetables (Deadline: 31 January 2026)
- Modern Control of Biotic Stress in Crops: Intelligent Detection and Precision Pesticide Application (Deadline: 31 January 2026)
- Agricultural Imagery and Machine Vision (Deadline: 31 January 2026)
- Next-Generation Pesticide Application Technologies: Precision, Safety and Environmental Sustainability (Deadline: 15 February 2026)
- New Trends in Agricultural UAV Application—2nd Edition (Deadline: 28 February 2026)
- Robotics and Automation in Farming—2nd Edition (Deadline: 28 February 2026)
- Integrating Yield Maps, Soil Data, and IoT for Smarter Farming (Deadline: 28 February 2026)
- Novel Studies in High-Throughput Plant Phenomics (Deadline: 28 February 2026)
- Research Progress in Agricultural Robots in Arable Farming (Deadline: 1 March 2026)
- 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)
- Crop Production in the Era of Climate Change (Deadline: 31 March 2026)
- Precision Crop Farming: Innovations in Sustainable Crop Monitoring and Management (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)
- Artificial Intelligence and Human–Computer Interactions in Agricultural Production (Deadline: 30 April 2026)
- Novel Studies in High-performance and Smart Plant Protection Products Application—3rd Edition (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)
- Sky Guardians of Agriculture: Drones for Efficient Plant Health Surveillance (Deadline: 25 May 2026)
- Advances in Soil and Water Sensor Technologies for Precision Agriculture and Environmental Monitoring (Deadline: 25 June 2026)
- Application of Deep and Machine Learning in Crop Monitoring and Management—2nd Edition (Deadline: 31 July 2026)
Topical Collections
Following topical collections within this section are currently open for submissions:
