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Friends Afar: How do Chinese scientists grow soybeans in Pakistan?

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HONG KONG, March 21, 2025 /PRNewswire/ — A report from chinadailyhk.com

Hafiz Mamoon Rehman, born in a small village in Pakistan’s Punjab province, grew up surrounded by golden wheat and cotton as white as snow. Unlike the generations before him who toiled the land, he chased academic excellence and sought knowledge beyond the familiar terrain of his homeland.

“Agriculture is food for poor countries,” he says.

Rehman’s journey led him to the fields of biotechnology, where he grappled with the intricacies of herbicide resistance and genetically modified wheat. In 2016, while pursuing his doctorate at Chonnam National University in South Korea, he chose soybeans as the subject of his long-term research.

He cast his resume into the world, reaching out to soybean experts across the globe. It was a message from Professor Lam Hon-ming of the Chinese University of Hong Kong’s School of Life Sciences that set the stage for what was to come.

Lam, a prominent expert in agricultural science, has decoded the genomes of 31 soybean varieties and bred non-genetically modified germplasms that are tolerant to drought and salinity. He was also the first researcher from Hong Kong to participate in a national-level space agricultural research project.

Two years later, Rehman joined Lam’s lab, completing a successful three-year postdoctoral stint. Hong Kong became a dream for him, a place where he built up a family and memories, including the birth of his child at Prince of Wales Hospital.

Yet, despite the allure of the vibrant city, Rehman never lost sight of his goal — returning home and using his knowledge to help his people. “Hong Kong has a better life. But I think if you really want to serve the farmer community, you should come to some agricultural country and serve.”

Sowing hope

After years of growth and learning, Rehman became a beacon of hope at the University of Agriculture Faisalabad, developing local soybean varieties suited for the conditions in Pakistan.

Pakistan, primarily an agrarian nation, faces challenges due to limited crop diversity and the adverse effects of climate change. With most of its agricultural land dedicated to five traditional crops and suffering from low soybean yield and quality, the country relies heavily on soybean imports for animal feed, unlike China’s familiarity and consumption of soy products.

United Nations Secretary-General Antonio Guterres labeled Pakistan as one of the countries most severely affected by climate change — a fact not lost on Rehman as he sought to introduce soybeans as a sustainable crop in his homeland.

Professor Iqrar Ahmad Khan, vice-chancellor of the University of Agriculture Faisalabad, explains that Pakistan spends up to $2 billion annually importing around 300,000 metric tons of soybeans. “What’s important now is to bring in soybean as a mainstream green crop.”

Achieving this goal meant finding the right seeds, and that’s where Lam’s expertise came into the picture. He had already cultivated the Longhuang soybean series in northwestern China’s Gansu province, which is known for its high yield and quality, even in arid and saline conditions.

In 2023, Lam, for the first time, visited Pakistan, taking with him a branch of seeds. Unlike the Longhuang series, what Lam prepared for Pakistan are genetically unstable soybean seeds, still undergoing change, with the hope of developing a variety that could thrive in the local environment.

In March 2024, the news of a terror attack targeting a Chinese construction project in Pakistan’s Cape province sent shock waves across the globe. The incident raised serious concerns for Lam and his team’s upcoming visit.

Departure and arrival

Although the attack loomed large over the trip, members of Lam’s team, including agricultural scientists, engineers and seed experts from Hong Kong and the Chinese mainland, alongside a group of Pakistani students from two Hong Kong secondary schools, were not deterred, converging on Hong Kong International Airport in early May.

Lam said he hopes these students could observe their homeland from a different perspective and understand the connection between Hong Kong and Pakistan.

After a 10-hour flight and a layover, Lam and his team touched down in Lahore amid tight security. The trip, meant to be a straightforward agricultural exchange, nowrequired navigating a complex security landscape.

Punjab, Pakistan’s breadbasket, was the destination — a province with more than 100 million people and the most developed agricultural sector in the country.

“Introducing soybeans to Punjab is not an easy task,” says Rehman, noting the crop’s novelty to local farmers. In the following days, Rehman and Lam’s team visited various villages, encountering soybean plots tucked away among cornfields, coriander, and winter melons, or nestled within vast sunflower expanses.

Zhang Guohong, a retired expert from Gansu Academy of Agricultural Sciences, bridged language barriers through his extensive agricultural knowledge, communicating with local farmers about irrigation, fertilization, and cultivation techniques.

The high temperatures of Punjab, edging close to 50 degrees C, posed a significant challenge. “The extremely hot weather almost melted everything,” Zhang says.

But the resilient seeds provided by Lam sprouted, offering a glimmer of hope. “I used to give them seeds that were already stable. This year, I brought new seeds that are still changing. It’s only by starting from a seed and struggling together that they can develop new varieties that truly belong there,” says Lam.

As the Chinese saying goes — “Give people fish and you feed them for a day. Teach them how to fish and you feed them for a lifetime,” Lam shared this Chinese philosophy through action.

Backbone of life

China, with only 9 percent of the world’s arable land and 6 percent of its freshwater resources, has sustained nearly one-fifth of the global population.

Over the past 75 years, the average disposable income of rural residents has soared from mere single digits to impressive five-digit figures, and nearly 100 million rural inhabitants have lifted themselves out of poverty, achieving the United Nations’ 2030 Agenda for Sustainable Development’s poverty reduction targets a decade ahead of schedule.

Lam, a 64-year-old agricultural scientist, has witnessed and contributed to the country’s reforms and development in rural areas, saying China’s experiences in rural revitalization in the past decade or so have provided valuable lessons for other developing countries.

Official data show that China has dispatched over 2,000 agricultural experts and technicians to more than 70 countries and regions worldwide. These professionals have promoted over 1,500 agricultural techniques, advancing rural poverty alleviation, modern agricultural development, and increased income for farmers in Asia, Africa, the South Pacific, Latin America and the Caribbean.

At the University of Agriculture Faisalabad, Professor Iqrar Ahmad Khan points out that the institution has signed over 50 cooperation agreements with numerous Chinese universities and research institutions. By the end of 2023, there were about 28,000 Pakistani students in China, forming one of the largest groups of foreign students in the country.

Rehman, of course, had strong ties with China as well. He showed the shirt he was wearing, saying it was a commemorative T-shirt given to him during a previous agricultural inspection in Hainan province, with a Chinese logo printed on it.

And this time, the seeds from Hong Kong, China, did not disappoint him.

About 3.5 hectares have been planted with soybeans that are anticipated to produce an impressive yield of 2,500 kilograms per hectare come summer. Additionally, Rehman witnessed a breakthrough three months into planting, with the soybeans evolving  positively towards a locally adapted variety.

Lam’s visit was more than an exchange of seeds — it was a transfer of knowledge and a gesture of friendship.

The collaboration between China and Pakistan in agricultural development highlighted the enduring bonds between the two nations, tracing back to the ancient Silk Road and flourishing under the modern Belt and Road Initiative.

“Building international friendships, connecting people at the grassroots level, and using science to help those in need have always been the core values of our Hong Kong team,” says Lam.

Agriculture, at its core, is about nurturing life and sustaining communities. It’s the embodiment of tireless work and the pursuit of innovations that can weather the storms of a changing world. For Lam and his team, it’s about sharing the fruits of their labor, not just in China, but across the globe.

Their work continues beyond Pakistan, from developing drought-tolerant soybeans in South Africa to studying space-bred Longhuang seeds that traveled with the Shenzhou spacecraft. The soybean journey is just the beginning and with it, the narrative of a burgeoning world of sustainable agriculture unfolds, a story that Lam and Rehman continue to write with each seed they plant.

“My kids are also living in the village, just like me. So, they would know how farmers grow food and how to help others,” Rehman says.

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SOURCE chinadailyhk.com

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JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

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View original content:https://www.prnewswire.co.uk/news-releases/jams-launches-ai-for-enterprise-job-scheduling-jax-and-jams-mcp-on-the-model-you-choose-302833908.html

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Video: CNPC offers green chemical answer

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BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/video-cnpc-offers-green-chemical-answer-302834036.html

SOURCE chinadaily.com.cn

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Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

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Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

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