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Sunday / December 22. 2024
HomePosts Tagged "Data"

Revolutionising irrigation for growers with autonomous execution

Source.ag, the provider of AI solutions for fruit and vegetable growers, launched Source Irrigation Control: an autonomous irrigation solution that intelligently adjusts irrigation strategy execution in response to changing weather conditions and plant data.

The newest addition to Source.ag’s product suite helps growers scale operations and improve irrigation management while decreasing the need for manual intervention and the time to adapt to new seed varieties or locations. The grower sets the irrigation targets, and Source Irrigation Control does the rest. Using AI models fed with weather forecasts and plant data to predict water and nutrient uptake, this new market innovation saves resources and growers’ time. Growers can set irrigation targets to suit their preferred cultivation strategy, combining their cultivation knowledge with Source.ag’s data science capabilities. 

Source Irrigation Control’s data-driven irrigation solution offers growers multiple benefits in terms of crop quality, resource management, and business growth opportunities. The system predicts the water and nutrient uptake of plants and then applies its findings to a proactive irrigation plan that promotes root growth and healthy root development. Because AI is used to assess and clean sensor data which then updates growers’ unique irrigation models regularly, growers are free to spend their time on other value-added activities. The reduction in manual intervention means growers can manage many more hectares, allowing them to quickly scale operations. Equally, the system’s adaptability makes coping with new circumstances, climates, or seed varieties easier and more cost-effective.

Revolutionising irrigation for growers with autonomous executionSource.ag,

The data shows the urgent need for improvement, as well as the potential for shared learning

“The state of food systems worldwide in the countdown to 2030”, published today by The Food Systems Countdown to 2030 Initiative (FSCI), provides the first science-based monitoring to guide decision-makers as they seek the wholesale transformation of the global agriculture and food systems. This transformation is needed urgently both to reduce the environmental impact of these systems and to mitigate the impact of climate change on them. The overarching objective is that all people – especially the most vulnerable – have equitable access to healthy diets through sustainable and resilient agriculture and food systems.

The UN Food Systems Summit catalysed agriculture and food system action, though policymakers often lack the data required to drive critical decisions. The FSCI is filling that gap, having identified an indicator framework composed of 50 indicators that monitor agriculture and food systems at a global level, using existing data to enable immediate action. Repurposing existing data, rather than carrying out time-consuming new research, means policymakers have quick access to relevant information.

Following this first global baseline, the FSCI will track agriculture and food systems annually until 2030, updating the framework as needed where new indicators or better data emerge.

Agriculture and food systems play a vital role in meeting all 17 Sustainable Development Goals (SDGs), yet the SDGs are insufficient to monitor these systems. The FSCI fills this gap.

Agriculture and food systems transformation is essential if countries are going to meet their Nationally Determined Contributions. Yet this is still an emerging conversation: agriculture and food systems only played a small part in climate negotiations at COP27. They featured more strongly at the recent COP28 where over 150 countries signed the Emirates Declaration on Sustainable Agriculture, Resilient Food Systems, and Climate Action and committed to incorporate agriculture and food systems into their climate plans by 2025 – very encouraging progress.

The data shows the urgent need for

Salient Predictions, a Boston-based technology company that creates the world’s most accurate subseasonal-to-seasonal (S2S) weather forecasts and analytics, has announced the launch of a new suite of weather metrics which will provide agribusiness and food producers with data to make faster, smarter decisions.

The company’s new agriculture metrics incorporate hyper-localised forecast data which is relevant to the agriculture sector. This data is based on Salient’s industry-leading ocean and land-surface forecasting technologies developed from decades of research at Woods Hole Oceanographic Institution and MIT.

“Agriculture businesses are experiencing first-hand effects of our changing climate, having more accurate, long-term weather metrics that go far beyond what’s possible today gives a critical advantage for resource planning and preparedness in the face of increasing climate disruptions.” said Matt Stein, CEO of Salient.

“These new and enhanced metrics enable agribusinesses to better anticipate the impacts of weather on their operations,” said Janet Lee, Chief Product Officer at Salient.

The Metrics helps agribusinesses better anticipate the needs of their customers and proactively place the right products at the right time to maximize the benefits realized.

Salient Predictions, a Boston-based technology company that creates