Editor profile
Chief Editor, AgriTech & Innovation
David Stewart analyzes the intersection of robotics and precision agriculture across global markets. He focuses on how autonomous systems and AI optimize crop yields and farm management.
david.stewart@agritechreview.comFaced with rising costs and sustainability pressures, competitors in the agri-food supply chain are exploring the sharing of infrastructure such as logistics and charging facilities to improve efficiency and reduce emissions.
University of Missouri research shows that AI-driven variable seeding technology can adjust planting density based on field differences, increasing corn yields while reducing input costs, and providing data support for precision agriculture.
The latest FAO report on the State of Agricultural Commodity Markets points out that increasingly frequent shocks pose challenges to global food trade, and strengthening trade networks, reducing export restrictions, and international cooperation are key to enhancing resilience.
Analyze the impact of Trump tariffs and the Iran war on the export prices of agricultural products from the U.S. Gulf of Mexico, covering price changes and industry impacts for corn, soybeans, soybean oil, wheat, tallow, and distillers dried grains with solubles (DDGS).
How Leading Projects in Saudi Arabia, UAE, Qatar, Oman, Bahrain, and Kuwait Integrate Productive Landscapes, Water Reuse, and Agriculture into Resilient Master Plans.
Analysis of the application and challenges of drones in significantly improving agricultural productivity in Canada.
The Food and Agriculture Organization of the United Nations and the Organisation for Economic Co-operation and Development jointly released the "Agricultural Outlook 2026-2035", pointing out that three major trends—growing demand from emerging economies, diversification of dietary structures, and China's role shift—will profoundly impact agricultural trade and agri-tech investment directions in the next decade.
This article analyzes from the perspective of agricultural technology five existential issues facing food enterprises—supply chain resilience, sustainable agriculture, health transformation, technological innovation, and labor restructuring—and explores their profound impact on industrial upgrading and food security.
The global smart greenhouse market size is expected to grow from $7.9 billion in 2026 to $27.17 billion in 2034, with a significant compound annual growth rate. How is smart greenhouse technology reshaping modern agriculture?
At the 2026 Sosland Purchasing Seminar, expert Joe Glauber pointed out that changes in tariffs and trade agreements are driving the accelerated application of agricultural technology to improve supply chain resilience and efficiency.
American dairy farmers are pushing for policy changes in Washington, with demands involving price supports, environmental regulations, and technological innovation, aiming to enhance the industry's competitiveness through precision agriculture and sustainable practices.
Exploring the role of technology in the global agricultural supply chain, from US agricultural exports to imports of tropical products, analyzing the impact of transportation, cold chain, and digitalization on efficiency and sustainability.
The global precision agriculture drone market is growing rapidly, driven by food security demands and automation technology, and is expected to reach a market size of US$13.9 billion by 2033.
Based on the latest market research, the global AI in agriculture market is expected to grow from over $4.7 billion currently to over $46.6 billion by 2034. As agricultural AI, precision agriculture, and automated systems accelerate adoption, agricultural production efficiency, resource utilization, and supply chain resilience are being redefined.
The growth of the global precision agriculture market reflects the rising adoption of agricultural AI, remote sensing technology, and data-driven crop management in modern farms. This shift is not only affecting production efficiency, but is also reshaping the long-term structure of smart agriculture, farm operations, and the food supply chain.
Against the backdrop of global population growth, labor shortages, and climate volatility, agricultural AI is evolving from a single-point tool into a key infrastructure connecting precision agriculture, automated operations, and risk management.