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HomePosts Tagged "Feroz Sheikh"
Agribusiness, Agrotech, Digital Technologies, R&D

Cropwise AI is a cutting-edge GenAI system designed to increase the efficiency of agronomic advisors and growers to determine the best crop management practices.

Syngenta Group, a global leader in agricultural innovation, announced the launch of Cropwise AI at the World AgriTech Innovation Summit in London. Cropwise AI is a cutting-edge GenAI system designed to increase the efficiency of agronomic advisors and growers to determine the best crop management practices. Leveraging advanced machine learning algorithms and data analytics, Cropwise AI empowers growers with deep insights and enhanced decision-making capabilities to optimize crop yields, improve sustainability, and drive profitability.

Cropwise AI leverages the deep library of Agronomic Models housed within Cropwise Insight Engine, including over 20 years of weather history, soil conditions, more than 80,000 observations on crop growth stages, and historical yield data from R&D and on-farm trials.

This information is then integrated with Syngenta’s extensive agronomic expertise. Combined with a multi-lingual conversational LLM, the system provides growers with tailored recommendations for precise input applications, product placement, and strategies for pest and disease control in easy-to-understand natural language.

The unique combination of data and models helps farmers make better decisions. Utilizing Syngenta’s seed recommendation models, Cropwise AI helps growers increase yields by up to 5 per cent.

“Cropwise AI represents a significant milestone in our digital transformation journey,” said Feroz Sheikh, Chief Information and Digital Officer at Syngenta Group. “By combining our deep agronomic knowledge with cutting-edge AI capabilities, we are bringing the power of GenAI to agriculture and empowering growers to make data-driven decisions.”

Earlier this year, the launch of GHX 2.0 with Cropwise AI integration brought the full potential of farmer data to life. The updated GHX 2.0 app allows users to ask questions and get answers on products and agronomic challenges, to high-impacting diseases like Tar Spot.

Key features of Cropwise AI include:

Seeds recommendation and placement: providing insights on seed products and utilizing advanced predictive machine learning algorithms to deliver tailored seed recommendations.

Predictive Modeling: Leveraging machine learning algorithms to forecast crop growth, yield potential, and risk factors based on real-time and historical data.

Precision Agriculture: Providing site-specific recommendations for optimized input application, minimizing waste and maximizing resource efficiency.

Looking ahead, Syngenta plans to expand Cropwise AI’s capabilities with innovative features that will further revolutionize agricultural practices:

Advanced Disease and Pest Management: Future iterations will leverage computer vision and image recognition to detect and identify pests and diseases early, for proactive and precise management strategies.

Sustainability Analytics: Syngenta will integrate sustainability analytics to quantify the environmental impact of farming practices and provide suggestions for reducing carbon footprint.

“Cropwise AI is an industry-leading example of how GenAI can address critical agricultural issues”, said Elizabeth Fastiggi, Global Head of Agriculture, AWS. “Syngenta has revolutionized decision support, giving farmers easy access to expert advice. We’re excited to partner with them to boost yields and optimize productivity across the agri-food system.”

Cropwise AI is currently available to selected groups of customers in the United States and Brazil, with plans to expand to Europe in the near futur

Cropwise AI is a cutting-edge GenAI system

Company News, R&D, World

For the first time, signals produced by a plant’s physiological response to infection will be linked to optimised crop treatments delivered with John Deere See & Spray technology. 

InnerPlant, the seed technology company enabling the earliest possible detection of stress in crops to make farming universally more efficient and sustainable, Syngenta, a global leader in agricultural innovation and crop protection and John Deere, a global leader in the delivery of agricultural, and construction, and forestry equipment, announce a joint effort to develop an integrated solution to fight fungus in soybeans. The first-of-its-kind solution will link together plants that give off early and specific signals when under attack by fungus with optimised crop protection treatments that are delivered with See & Spray technology.

“Fungal diseases are a massive and growing problem facing farmers who already face a great deal of risk in their operations,” explains Shely Aronov, CEO and co-founder of InnerPlant. “A solution that links signals directly from plants’ physiological responses to the individualised, precise delivery of optimised inputs will make farmers’ lives easier by delivering both improved efficacy and efficiency.”

Globally, crops are attacked by fungal diseases that result in substantial yield losses. And the problem is getting worse, according to experts who cite climate change and rising resistance to common fungicides as contributing to fast-rising fungal attacks that threaten the world’s food supply and a “global health catastrophe.”

“The technology from InnerPlant allows the detection of plant diseases at the earliest possible stage identifying plant diseases that otherwise often go undetected or untreated,” says Feroz Sheikh, Syngenta’s Chief Information and Digital Officer. “We are happy to engage in these initial trials with our partners. Integrated, innovative solutions are a critical path forward for managing the growing impact of soybean diseases and ensuring that farmers have the tools they need to feed the world.”

For the first time, signals produced by

Agrotech, Company News

Syngenta Crop Protection, a global leader in agricultural innovation, is launching the world’s first commercial digital solution to diagnose infestations of plant-parasitic nematodes in soyabean crops by analysing photographs taken from satellites.

Plant-parasitic nematodes are microscopic parasites living in the soil that feed on plant roots, opening pathways to further fungal infections and threatening plant health, crop quality and yield. These harmful nematodes account for as much as $ 150 billion in crop losses globally each year.

The new digital tool uses a unique, proprietary algorithm to analyse images of fields obtained by satellites, allowing it to identify areas of high infestations of plant-parasitic nematodes in crops and estimate potential losses caused by these microscopic parasites.  Using the tool, farmers can make quick adjustments to their field management practices, helping them avoid losses in yield, as well as optimising the use of inputs, improving the sustainability of their farms.

Syngenta will first market this service to soybean farmers in Brazil, where the company already offers an extensive range of advanced digital solutions. Soybean is one of the most important crops in the world for its vital role in food production, and Brazil accounts for approximately 35 per cent of global soybean production. In Brazil, plant-parasitic nematodes cause estimated losses in soybean production amounting to more than $5.4 billion a year. So far, the threat from harmful nematodes has been largely invisible and insufficiently understood, and estimates say that Brazilian farmers lose as much as 30 per cent of their yield in highly infested areas.

“Harmful nematodes that devastate crops are a major threat to farmers and food security, and Syngenta is using cutting-edge digital solutions to help combat these pests,” said Jeff Rowe, President Global Crop Protection. “We are excited to be launching this product in Brazil, and there is great potential to scale this solution to other countries and crops and transform the decision-making capabilities for growers.”

This first-of-its-kind innovation is the culmination of a multi-year collaboration with Swiss-based AgTech startup Gamaya SA – a spin-off from Switzerland’s Federal Institute of Technology Lausanne – bringing together its highly specialised expertise in algorithm development together with Syngenta’s agronomic and crop knowledge. Syngenta is integrating this advanced digital solution within its own digital technology platform, CROPWISE™.

“At Syngenta, we will continue to invest in machine learning and data science, to develop further breakthrough offers for farmers,” said Feroz Sheikh, Chief Information and Digital Officer of Syngenta Group. “The technology is a great addition to our CROPWISETM platform, which already digitally connects almost 200 million acres of land, and underlines our commitment to invest in and partner with providers in the AgTech space.”

The introduction of the digital diagnosis and mapping tool for harmful nematodes comes as Syngenta launches TYMIRIUM® technology globally, its next-generation nematicide and fungicide for both seed and soil uses that can help farmers maximise crop output while preserving soil biodiversity and health.

Syngenta Crop Protection, a global leader in