Articles here cover multispectral and thermal remote sensing, digital twins, IoT systems, and machine learning applications. Data collection, cleaning, processing pipelines, and MLOps are discussed as part of decision-support systems. The output is improved monitoring accuracy, predictive insights, and operational optimization in smart farming.

This category focuses on CEA systems, hydroponics, aquaponics, spectral lighting, climate control, and fertigation technologies. Facility design, equipment selection, economic modeling, and preventive maintenance are analyzed throughout the lifecycle. The objective is uniform, high-quality production and efficient resource use at industrial scale.

Articles in this category address gene editing, RNA interference, synthetic biology, and cellular agriculture from application and development perspectives. Pathways for scaling, quality assurance, and regulatory compliance of bio-based products are analyzed. The outcome is technological advantage and food security driven by deep innovation.

This category covers corporate governance, standardization, and regulatory frameworks across agriculture and food sectors. Alignment with ASC and GlobalG.A.P. requirements, compliance mechanisms, auditing, and reporting processes are examined. The outcome is reduced operational risk and improved access to reputable, export-oriented markets.

Articles in this section address material and energy cycles through the lens of the circular economy and biological substitutes. Topics include soil regeneration, microbiome and mycorrhiza interactions, waste recycling, and carbon accounting. The objective is to enhance resource efficiency, minimize waste, and generate sustainable added value.

This category explores SCF and CVC models, partnership structures, and financial governance across the agri-food ecosystem. Valuation methods, risk-adjusted return assessments, and co-investment contract design are analyzed. The goal is to enable financing, enhance supply chain efficiency, and foster scalable growth.

Articles in this category analyze market actors, competitive structures, and comparative advantages in domestic and international arenas. Demand trends, policy incentives, and market access pathways are reviewed using empirical evidence. The result is data-driven strategies for market entry and expansion.

This section covers machine perception, robotic manipulation, and autonomous navigation in both agriculture and aquaculture. Sensor and actuator selection, software architecture, and fleet integration with data-centric infrastructures are discussed. The objective is to reduce costs, improve quality, and increase safety and scalability of operations.

This category focuses on energy and water management, as well as resilient infrastructure in farms and food industries. Solar architectures, storage systems, desalination, smart irrigation, and network monitoring are analyzed with engineering depth. The goal is to optimize costs, increase reliability, and enhance operational efficiency.

Articles in this category explore aquaculture production models and the blue economy, focusing on marine cage systems, RAS technologies, feed, and cold-chain logistics. Export scenarios, quality standards, and sustainability frameworks are analyzed through data-driven case studies to define decision-making structures for investment and efficiency from farm to market.