AgMatix has partnered with BASF to develop a soybean cyst nematode detection tool using Artificial Intelligence technology. This tool will help farmers identify and treat the pest in their fields, improving crop yields and reducing pesticide usage in the agriculture industry.
Read more
AI technologies such as Machine Learning, Deep Learning, and Computer Vision are being used in the agriculture industry to improve efficiency and productivity. Companies like John Deere, IBM, and Microsoft are developing AI solutions for precision farming, crop monitoring, and yield prediction, benefiting both agriculture companies and consumers by increasing crop yields and reducing costs.
Read more
A computer vision system called CropSight is being developed by Blue River Technology to monitor specialty crops for key information such as plant population, canopy size, and crop health, using cameras and machine learning algorithms. This technology allows farmers and agriculture companies like John Deere to make smarter decisions in real-time, improving the efficiency and productivity of their operations.
Read more
Tech companies like IBM are utilizing Artificial Intelligence and blockchain technology to improve food safety for consumers, with initiatives such as IBM Food Trust. Other examples include AgShift, a company using Machine Learning to assess produce quality, and TeleSense, which uses sensors and AI to monitor grain storage conditions and prevent spoilage. These advanced technologies are revolutionizing the agriculture industry, ensuring the safety and quality of products for companies like Walmart and Dole.
Read more
Artificial Intelligence technology such as VineView is being used in Napa vineyards to improve grape growth and quality by analyzing aerial images of the fields and providing data-driven recommendations. Additionally, agriculture companies like Demeter Robotics are employing robotics and machine learning algorithms to automate tasks such as pruning and harvesting in order to increase efficiency and reduce labor costs.
Read more
Biome Makers partners with Climate FieldView, John Deere, and CNH to enhance digital agriculture through seamless data integration, utilizing Artificial Intelligence and Machine Learning to improve decision-making for agriculture companies and consumers. This collaboration enables more efficient farming practices by leveraging advanced technologies like Neural Networks and Natural Language Processing to analyze data and provide insights for optimizing crop production and sustainability.
Read more
An innovative computer vision system called 'VitiCanopy' has been developed to enhance monitoring of specialty crops in vineyards, allowing farmers to accurately assess plant health and optimize production. By utilizing artificial intelligence and machine learning, this technology is revolutionizing the way agriculture companies such as Grape Growers of Ontario can increase efficiency and yield through precise data analysis and decision-making based on real-time information collected from the field.
Read more
Avalo is an AI-powered plant breeding startup that raised $11M and partnered with Coca-Cola to future-proof sugarcane production by using machine learning and deep learning technologies to develop disease-resistant and high-yielding sugarcane varieties. This innovative approach demonstrates the impact of artificial intelligence and machine learning in revolutionizing agricultural practices and helping agriculture companies like Coca-Cola improve crop resilience and productivity.
Read moreAgricultural robots such as the FarmWise vegetable weeder and the Harvest CROO Robotics strawberry picker are being developed to revolutionize farming practices in order to achieve a more sustainable future. These robots utilize artificial intelligence, machine learning, and computer vision technologies to improve efficiency and productivity for agriculture companies like John Deere and consumers of agriculture products.
Read moreSourceAg has introduced new product tiers to advance the implementation of AI in greenhouse operations, including features such as AI-driven decision-making tools and remote monitoring capabilities. By leveraging AI technology like machine learning and computer vision, companies like AeroFarms and Plenty are revolutionizing the agriculture industry with increased efficiency, improved crop yields, and reduced environmental impact.
Read more
Artificial Intelligence and Automation are transforming the agriculture industry by optimizing crop yield, detecting plant diseases, and monitoring livestock health. Companies like John Deere, IBM, and Microsoft are utilizing Machine Learning and Computer Vision to develop innovative solutions for farmers, improving efficiency and sustainability in agriculture practices.
Read moreAI-powered drones, such as those developed by DJI and PrecisionHawk, are being used in precision agriculture to improve crop management, increase yields, and reduce costs. These drones use advanced technologies such as computer vision, machine learning, and neural networks to analyze data and provide actionable insights to farmers, revolutionizing the agriculture industry.
Read more
Vertical farming is revolutionizing the agriculture industry by utilizing artificial intelligence and robotics to increase efficiency and address food shortages. Companies like Plenty and AeroFarms are incorporating machine learning and computer vision technologies to optimize crop production, while consumers benefit from fresher and more sustainable agricultural products.
Read more
Yamaha Motor has acquired Robotics Plus in order to expand its agricultural robotics capabilities. This acquisition will enable Yamaha Agriculture to integrate Robotics Plus' AI and machine learning technologies, such as computer vision and neural networks, into their agricultural solutions for improved efficiency and productivity in farming operations.
Read moreArtificial intelligence technologies like computer vision and machine learning are being used in the agriculture industry to improve crop health, sustainability, and yields. Companies like AgShift and Prospera are using AI to analyze plant health and quality, while John Deere's See & Spray technology uses computer vision to detect and target individual weeds, reducing the need for herbicides.
Read more
AI and big data are revolutionizing crop breeding in the agriculture industry, with companies like Bayer, Corteva Agriscience, and Syngenta investing in these technologies to accelerate the development of new plant varieties. Machine learning algorithms, neural networks, and generative AI are being used to analyze massive amounts of genomic and environmental data to predict plant traits and improve crop productivity, ultimately benefiting farmers and consumers alike.
Read more
AI and mobile apps are being increasingly used in the agriculture industry in Indonesia to enhance productivity, with companies like eFishery utilizing AI algorithms to monitor fish behavior and feed consumption to optimize feeding schedules. Other examples include Hara using blockchain and AI to provide farmers with access to financial services and AgVend utilizing mobile apps to streamline the process of buying agricultural inputs.
Read more
Robotics and automation are transforming the agriculture industry with companies like John Deere implementing AI-powered solutions for precision farming, while others use computer vision and drones for monitoring crop health. These technologies are revolutionizing the way agriculture companies operate, leading to improved efficiency, increased productivity, and better outcomes for consumers who benefit from higher quality and more sustainable products.
Read more
Artificial Intelligence, Machine Learning, and Computer Vision technologies are being increasingly utilized by agriculture companies like John Deere to optimize farming processes, enhance crop management, and improve yields. For example, these technologies allow for the development of autonomous tractors and drones that can efficiently monitor crop health, reduce labor costs, and ultimately help farmers stay competitive in the industry.
Read more
Agriculture companies like Connecterra are using Artificial Intelligence, Machine Learning, and IoT to revolutionize dairy farming by providing mobile solutions that enhance productivity and animal welfare. These technologies, such as Connecterra's Ida AI system, utilize deep learning and natural language processing to analyze data from sensors and cameras, ultimately improving decision-making processes for farmers and leading to more sustainable agricultural practices.
Read more
Artificial Intelligence, Machine Learning, and Natural Language Processing are being used by agriculture companies like Corteva Agriscience to analyze data and improve crop yields in response to the threats of climate change. These technologies are helping agriculture industry leaders make data-driven decisions to ensure food security for consumers in the face of evolving environmental challenges.
Read more
Robotics Plus has been acquired by Yamaha Motor, allowing for precision agriculture solutions for growers through the integration of Artificial Intelligence and Machine Learning technologies. This acquisition will enhance the capabilities of robotics systems such as RPL Fruit Maps and RPU Fruit, benefiting agriculture companies like Zespri and T&G Global in optimizing their production processes and improving crop yields.
Read moreArtificial Intelligence and Machine Learning technologies such as Generative AI and GPT are being utilized in the agriculture industry to improve efficiency and productivity. Companies like Bowery Farming and Plenty are incorporating advanced technologies like Neural Networks and Computer Vision to optimize crop growth and ensure sustainability in indoor agriculture practices.
Read more
Artificial Intelligence and Machine Learning technologies such as LLMs, GPT, and NLP are being utilized in the Agriculture Industry to create autonomous agricultural equipment that revolutionizes precision farming for companies like John Deere and CNH Industrial. These technologies are being used to improve efficiency, accuracy, and productivity in tasks such as crop monitoring, yield prediction, and automated harvesting, benefiting both agriculture companies and consumers of agricultural products.
Read more
A new white paper explores how AI technologies like Generative AI are being adopted in the agriculture industry, with companies like Granular leveraging machine learning to analyze data and improve decision-making processes for farmers. These innovations in AI, such as deep learning and NLP, are revolutionizing the way agriculture companies and product consumers are approaching tasks like crop monitoring and yield prediction, ultimately leading to more efficient and sustainable practices in the field.
Read more
Would you like us to add an industry? Let us know
Would you like us to add a health topic? Let us know
Would you like us to add a profession? Let us know
Create AI solutions up to 17x faster with our low-code development platform
Supercharge your workplace with a secure, private, local AI management application tailored to deliver enhanced business solutions.
Synchronize your workforce with an AI-driven management system that optimizes task delegation, and communication to empower frontline teams and boost productivity.
