February 23, 2024

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Developing Smart Weather Forecasting for Farms in the U.S.

U.S. Researchers working on smart irrigation systems have developed a way to choose the most accurate weather forecast out of those offered in the week leading up to a given day. Every farmer would love to have a perfect weather forecast, but accurate forecasts are even more important to those who are embracing technology and in particular the Internet of Things (IoT).

In farming, IoT involves smart devices that talk to each other, to make recommendations such as when, where and how much to irrigate. That decision requires a lot of information, such as the needs of the particular crop, the current stage of its development, soil moisture and the weather.

IoT researcher

The researchers have been looking for ways to go beyond the standard weather predictions, such as the Bureau of Meteorology’s (BOM) seven-day forecast, to help farmers and their smart systems decide whether they need to irrigate today. Hence, the researchers have devised a hybrid system that shows real promise in improving the precision of rainfall forecasts.

People usually assume that the forecast closest to the day in question will be the most reliable, but that turned out not to be the case. So the researchers looked at ways to teach our artificial neural network to understand the relationships underlying all the data, to choose the best forecast. The team has developed a Hybrid Climate Learning Model (HCLM), which learns from a combination of the climate model data and the eventual answer to the question: is it going to rain tomorrow?

First, a probability-based network evaluates multiple forecasts for different rainfall patterns. Then a deep-learning neural network reprocesses the forecasts to produce a better prediction for the next day. Using high-quality processed data from the BOM rather than raw observations has helped the HCLM learn better.

The neural network examines the relationships between massive amounts of input data, processes it through many network layers, and learns from the mistakes made in earlier forecasts. The higher the quality of data, the better the network learns. When they then tested their system across that same range of climate zones, the hybrid model outperformed the BOM’s climate models and three other experimental systems, making the fewest errors in its forecasts.

The researchers are keen to stress that their work won’t be putting the BOM out of business. This work relies on their expertise, and the HCLM builds its rainfall predictions on the multiple forecasts produced by the BOM’s climate models. This model is the first to bring together the climate models, a probability network and a deep-learning neural network.

As reported by OpenGov Asia, to support weather prediction and the study of the Sun’s internal structure and dynamics. National Science Foundation’s (NSF’s) National Solar Observatory (NSO) has provided continual observational data of solar activity from a global network of six identical telescopes.

Recently, the NSO successfully transitioned the processing of these important observations of the Sun’s magnetic field and lower atmosphere to the operational control of the National Oceanic and Atmospheric Administration’s (NOAA’s) Space Weather Prediction Center (SWPC). This move will ensure reliable delivery of the data to the NOAA’s space weather forecasters who are the nation’s official civilian source for space weather watches, warnings, alerts, and forecasts.

NSO utilises advanced technological techniques developed by dedicated engineering teams to provide the highest quality data to the U.S. solar physics community. Scientists are conducting cutting edge research on understanding the fundamental processes that occur on the Sun, specifically how its active magnetic field influences solar activity, and using our understanding of solar behaviours to better inform the knowledge of other stars.


Qlik’s vision is a data-literate world, where everyone can use data and analytics to improve decision-making and solve their most challenging problems. A private company, Qlik offers real-time data integration and analytics solutions, powered by Qlik Cloud, to close the gaps between data, insights and action. By transforming data into Active Intelligence, businesses can drive better decisions, improve revenue and profitability, and optimize customer relationships. Qlik serves more than 38,000 active customers in over 100 countries.


CTC Global Singapore, a premier end-to-end IT solutions provider, is a fully owned subsidiary of ITOCHU Techno-Solutions Corporation (CTC) and ITOCHU Corporation.

Since 1972, CTC has established itself as one of the country’s top IT solutions providers. With 50 years of experience, headed by an experienced management team and staffed by over 200 qualified IT professionals, we support organizations with integrated IT solutions expertise in Autonomous IT, Cyber Security, Digital Transformation, Enterprise Cloud Infrastructure, Workplace Modernization and Professional Services.

Well-known for our strengths in system integration and consultation, CTC Global proves to be the preferred IT outsourcing destination for organizations all over Singapore today.


Planview has one mission: to build the future of connected work. Our solutions enable organizations to connect the business from ideas to impact, empowering companies to accelerate the achievement of what matters most. Planview’s full spectrum of Portfolio Management and Work Management solutions creates an organizational focus on the strategic outcomes that matter and empowers teams to deliver their best work, no matter how they work. The comprehensive Planview platform and enterprise success model enables customers to deliver innovative, competitive products, services, and customer experiences. Headquartered in Austin, Texas, with locations around the world, Planview has more than 1,300 employees supporting 4,500 customers and 2.6 million users worldwide. For more information, visit www.planview.com.


SIRIM is a premier industrial research and technology organisation in Malaysia, wholly-owned by the Minister​ of Finance Incorporated. With over forty years of experience and expertise, SIRIM is mandated as the machinery for research and technology development, and the national champion of quality. SIRIM has always played a major role in the development of the country’s private sector. By tapping into our expertise and knowledge base, we focus on developing new technologies and improvements in the manufacturing, technology and services sectors. We nurture Small Medium Enterprises (SME) growth with solutions for technology penetration and upgrading, making it an ideal technology partner for SMEs.


HashiCorp provides infrastructure automation software for multi-cloud environments, enabling enterprises to unlock a common cloud operating model to provision, secure, connect, and run any application on any infrastructure. HashiCorp tools allow organizations to deliver applications faster by helping enterprises transition from manual processes and ITIL practices to self-service automation and DevOps practices. 


IBM is a leading global hybrid cloud and AI, and business services provider. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Nearly 3,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and business services deliver open and flexible options to our clients. All of this is backed by IBM’s legendary commitment to trust, transparency, responsibility, inclusivity and service.

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