Channel
Technology coverage on precision farming, robotics, farm software, sensors, data platforms and AI tools moving from pilots into working fields.
In-depth analysis of global AgriTech and FoodTech market dynamics, exploring how innovations such as AI, robotics, and alternative proteins are reshaping agricultural productivity, supply chains, and food security.
In-depth exploration of how AgriTech such as agricultural AI, robotics, and precision agriculture can enhance agricultural production efficiency, optimize land use, and provide technical pathways for achieving global food security and sustainable agricultural transformation.
In-depth analysis of how agricultural technology drives the paradigm shift from traditional agriculture to a sustainable and high-efficiency agricultural new paradigm through technologies such as AI, robots, and data platforms, and explores its long-term impact on global food supply chains and food security.
This paper explores how agricultural AI, drones, and satellite remote sensing technologies drive agricultural precision, and analyzes their long-term impact on global food security and sustainable agricultural models.
This report deeply explores how cutting-edge AgriTech technologies such as agricultural AI, robotics, and data platforms drive the upgrading of precision agriculture, analyzing their long-term impact on production efficiency, sustainable agriculture, and the global food supply chain.
In-depth review of how modern agricultural technologies such as precision agriculture, biotechnology, AI, and agricultural robots can enhance production efficiency, maximize land use efficiency, and provide pathways to achieve global food security and sustainable agriculture.
In-depth exploration of how agricultural technology can move from single innovation to ecosystem integration, covering the evolution trends of agricultural AI, precision agriculture, sustainable agriculture, and global food supply chains.
In-depth analysis of the current status and future trends of agricultural drone technology in enhancing agricultural production efficiency, optimizing resource utilization, and addressing labor shortages, and to explore its profound impact on the global precision agriculture ecosystem.
Based on a global market report covering more than 500 companies, spanning vertical farming, gene editing, agricultural robotics, and alternative proteins, this outlines the directions of agtech investment and industry transformation over the next decade.
A 2025 systematic review shows that precision agriculture can increase yields by 20%-30%, vertical farming can save approximately 95% of land and water, and AI has an accuracy rate of over 90% in agricultural decision-making. Can modern technology ultimately translate into global food security?
The global AI in agriculture market is projected to reach $28.6 billion by 2034, as precision agriculture, smart agriculture, and digital agriculture are reshaping farming practices. This article examines the application prospects, driving factors, and long-term impact of AI in agriculture from an industry perspective.
According to the latest report from Precedence Research, the global smart agriculture market is expected to grow from $29.48 billion in 2026 to $81.49 billion by 2035, at a compound annual growth rate of 11.99%. AI, the Internet of Things, and precision agriculture technologies are reshaping global agricultural production methods.
The global smart agriculture market is expected to grow from $20.05 billion in 2025 to $46.89 billion in 2034, at a compound annual growth rate of 9.9%. This article provides an in-depth analysis of market drivers, industry impacts, and long-term trends.
This article is based on a review from Frontiers journals, analyzing the profound impacts of modern technologies such as precision agriculture, biotechnology, and vertical farming on agricultural production efficiency and sustainable land use.
Indian agriculture is shifting from traditional practices to a digital, sustainable smart agriculture ecosystem. The EY report points out that the integration of technologies such as AI, IoT, and blockchain is key to unlocking the potential of agritech.
Global population growth and climate change are forcing an accelerated transformation of agriculture. How much of a difference can modern technologies such as precision agriculture, biotechnology, and vertical farming actually make? Based on an academic review, this article examines their benefits, challenges, and future trends.
The global smart agriculture market is expected to grow at a compound annual growth rate of 9.9%, from $20.05 billion in 2025 to $46.89 billion in 2034. The report analyzes drivers, challenges, and opportunities.
Indian agricultural technology is moving from fragmented innovation toward systemic integration. Based on the EY and Assocham report, this article analyzes how digital infrastructure, capital, and the entrepreneurial ecosystem are driving agricultural modernization, and also explores challenges such as data silos.
From precision agriculture to vertical farming, cutting-edge technologies are reshaping the global food production system.
Frontier Research Review: How Precision Agriculture, Biotechnology, Smart Irrigation, Automation, Vertical Farming, and Artificial Intelligence Significantly Enhance Agricultural Productivity and Land Use Efficiency, and an Analysis of Challenges in Adoption and Future Directions.
The combination of satellite remote sensing and AI is driving precision agricultural transformation, increasing yields and optimizing resource utilization, becoming a key tool for addressing food security and sustainable development.
Satellite precision agriculture uses high-resolution remote sensing images and AI analysis to help farmers achieve resource optimization and yield improvement, promoting sustainable agricultural transformation.
The integration of artificial intelligence, drones, and precision agriculture is reshaping global agriculture, bringing more efficient and sustainable methods of crop protection. This article analyzes current technological advancements, industry impacts, and future trends.
Artificial intelligence, drones, and precision agriculture technologies are deeply integrating, driving global agriculture into an era of data-driven intelligent production. This article analyzes how this trend reshapes crop protection, farm operations, and the global food system from the perspectives of technological innovation, industrial impact, and sustainable development.
Amid macroeconomic fluctuations, Argentina has fostered a cohort of agtech startups centered on efficiency, resilience, and global scalability, whose depth of innovation far exceeds the current capital market's perception.
Analysis of the application and challenges of drones in significantly improving agricultural productivity in Canada.
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?
According to a report by Allied Market Research, the global precision agriculture market is expected to reach $23.1 billion by 2030, with a compound annual growth rate of 13.4%. The proliferation of IoT, artificial intelligence, and data analytics technologies is driving improvements in agricultural production efficiency and sustainability.
Global agriculture faces the enormous challenge of feeding a population of ten billion while reducing environmental impact. A latest research review points out that sustainable intensification is a feasible path through precision agriculture, waste resource utilization, digital technologies, and climate-smart practices.
According to the latest report from Market Intelo, the global smart agriculture and Agriculture 4.0 technology market is expected to grow from $18.2 billion in 2025 to $51.8 billion by 2034, with a compound annual growth rate of 12.2%. Innovations such as sensors, robotics, and AI are reshaping the global food supply chain, but adoption speeds and priorities vary across regions.