Overview
Leading agricultural businesses are using this information to build stronger farming systems that work well even when weather conditions are difficult. Climate change is further changing the conditions where food crops are grown, and this transformation affects agricultural production.
Climate change is making droughts, extreme heat, floods, and shifting seasons more common, and this is increasing hunger and food problems around the world. Farmers need better information to adapt and reduce risks while maintaining productivity.
Why better information is needed
We are seeing how data makes farming better for the environment, and this helps explain the tools mentioned below that use information to help farms deal with changing weather and stay productive for many years. As per current farming challenges, data is needed regarding climate-resilient agriculture to help farmers adapt better.
Rising hunger and food security pressure
More than 295 million people in 53 countries faced serious hunger in 2024, which is 13.7 million more than in 2023, and this happened because of wars, money problems, and bad weather from climate change.
This trend adds to existing food security problems. Moreover, FAO research shows that food production must increase greatly to meet future needs as the population continues to grow. The FAO State of Food and Agriculture 2025 report shows that changing agriculture is very important to solve hunger and climate problems. This change will also help use natural resources in a fair way.
Scientific evidence of climate impacts on agriculture
As per the IPCC Sixth Assessment Report, climate change is already reducing farm production and increasing weather risks, which affects food security if proper steps are not taken. Science has documented these climate impacts regarding agriculture. As per global assessments, farms are facing more changing conditions but are still expected to deliver stable crop yields. That is where data becomes essential.
What data enabled farming includes
We are seeing how farming uses data and technology to make better decisions about crops and land. Basically, data-enabled farming combines different information sources to guide farming decisions.
Field operations and equipment data require analysis for proper understanding. Sensors on machines and records of planting dates provide information about what happened in the field and when it happened.
Agronomic measurements
Soil tests, crop health data, and yield results help farmers identify important patterns in their fields. Field trials and nutrient planning provide clear information about what drives better crop performance.
Signals from the environment and climate
There are signals from the environment and climate.
As per weather reports and seasonal forecasts, farmers can prepare for drought and stress conditions regarding their crops.
Remote sensing and imagery
Remote sensing and imagery provide valuable data for research purposes. These techniques help scientists study distant objects and areas effectively.
Satellites and aerial sensors show differences in fields, plant stress, and soil conditions across large areas. They detect these problems before farmers can see symptoms in their crops.
Turning data into action
All these data streams give farmers a clearer picture of what is happening on their land earlier. There is evidence that data helps turn unclear situations into useful information that we can act on.
Data helps farmers improve sustainable farming methods and makes agriculture more environment friendly on the ground.
Using data properly can deliver real results for fighting climate change. Using inputs in the right way can help the system work better and make the whole process more effective. As per data analysis, farmers can apply water, fertilizers, and pesticides in exact amounts. This reduces costs and minimizes harm to the environment regarding farming practices.
Better water management
We are witnessing better ways to handle water in our systems. The shortage water is becoming a major problem that is limiting farming growth. As per climate studies, drought and water shortage problems vary by area, but weather extremes are happening more often and becoming stronger. Data helps farmers decide when to water their crops and prevents overwatering.
Early stress detection
Early stress detection helps identify stress symptoms at initial stages and allows timely intervention and better crop health management. Remote sensing technology and automated warning systems help farmers identify drought or heat stress in crops before visible signs appear. This early detection gives farmers more time to take action to protect their crops.
Consistent sustainability measurement
Measuring sustainability in a consistent way helps organizations track progress and improve environmental performance. As per current trends, supply chains and regulators are asking for more proof regarding sustainable practices. Data platforms can track things like nutrient efficiency or soil health across different seasons and fields. This helps farmers see patterns consistently over time. Basically, data helps farms make operational decisions that reduce risk and demonstrate environmental responsibility.
Companies using data to build climate-resilient farming systems
Top companies are using data regarding building farming systems that can handle climate change. Several important companies are working at the intersection of farming, data, and environmental performance. These companies focus on making agriculture better using technology. They use data to help farmers plan better, adapt faster, and manage climate-related risks more effectively.
ICL Group
ICL Group combines established farming practices with digital tools as part of its plan to improve nutrient and resource use. Their innovative strategy in AgTech focuses on smart farming that supports climate resilience, and it uses data to help farmers plant crops and make stronger decisions for their fields. ICL Group has a few innovative digital tools that connect farm data to practical insights, helping growers make evidence-based decisions that increase yields, reach sustainability targets, and facilitate climate risk management.
Agmatix
Agmatix operates within the ICL AgTech ecosystem and develops agricultural technology solutions. Agmatix works on making farm data more consistent and easier to analyze. It provides clear insights that farmers can use for better decisions. It helps researchers interpret field data and soil information to build better nutrient plans and evaluate how crops handle stress. It supports strategies that help farming adapt to climate change. We are seeing that Agmatix combines real field data with satellite information to track crop changes and identify stress problems across different areas.
John Deere
John Deere is a well-known company that makes farming machines and tractors.
We are seeing that John Deere smart machines and software collect and unify data from equipment and farms. This data helps farmers apply seeds and fertilizers more precisely across different areas of their fields. It also allows them to compare crop performance across fields and seasons, which reduces waste and improves resilience.
AGCO
AGCO uses equipment telematics with farm data to improve input placement and timing. These digital farming solutions help farmers adjust to changing weather and reduce chemical overuse, while maintaining crop production during difficult conditions.
Climate FieldView
Climate FieldView is a digital farming platform that Bayer uses for crop monitoring and data analysis.
Climate FieldView brings together field history, weather data, satellite images, and work records regarding farm operations to support decision-making. Farmers use these insights to check conditions during the growing season and improve results. They monitor performance and make operations more sustainable.
CropX
CropX focuses on understanding soil and water systems for farming. It helps farmers make better irrigation decisions. As per the system, these tools help farms measure soil water and make watering decisions that save water while keeping crop production safe, which is especially useful in areas with low rainfall and water constraints.
What you should check when picking a data solution
When evaluating tools for climate resilience and farm operations, these factors matter most.
Integration with workflows helps connect processes and makes tasks flow smoothly from one step to another. Tools should also match who is making decisions, whether growers, advisors, or cooperatives.
According to requirements, the system should be simple to operate across all key functions. Platforms that deliver clear recommendations from data provide more value than dashboards that only display information. Resilience is measured over many seasons and years, and the best platforms track performance across multiple cycles.
Final thought
Basically, the world food system is facing pressure from extreme weather, wars, and economic disruption. The Global Report on Food Crises 2025 shows that acute hunger is rising further, while major scientific bodies like IPCC and FAO highlight that agricultural productivity.
As per current needs, knowing how data helps sustainable farming is very important for better agricultural practices. Data provides farmers with earlier warnings and better efficiency, and it helps them measure performance consistently. This capability strengthens climate resilience and supports long-term food security.
Basically, these companies show how data helps farmers apply inputs precisely, manage water better, and detect crop stress to maintain productivity and handle climate risks.
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