AI in Agriculture

The company has a strong brand name and has a well-established distribution network, which makes it a leading market player. The company focuses on acquisitions and collaborations as its key business strategies for growth. For instance, in September 2017, John Deere acquired Blue River Technology, an artificial intelligence start-up. Blue River Technology develops cutting-edge machine vision tools that help farmers scan fields and assess crops. John Deere provides a broad variety of products for agriculture farm; it is actively working on applying artificial intelligence technology to its array of tractors and other offerings to help farmers increase productivity with minimum efforts

The Climate Corporation is a digital agriculture company that examine weather, soil, and field data to help farmers improve farming operations and crop productivity. The company offers climate field view platform, which helps farmers in increasing productivity using digital tools. The company collects and analyzes field data, measures crop performance, and monitors nitrogen content in soil

IBM, through its research centers, help farmers in increasing farm productivity by boosting the visibility of agronomics states of farm, such as soil moisture and crop health. The company provides precision agriculture and weather modeling solutions by using sensors, Internet of Things (IoT) devices, cognitive technologies, and remote sensing data. The company provides various services and solutions, including plant disease and pest detection, crop identification, yield prediction, and precision irrigation advisory services, to farmers. The company also provides IoT platform that can integrate IoT and weather data to build predictive weather modeling. In addition, it provide insights that help farmers make strategic decisions on planting crops and take necessary actions to prevent damages caused by extreme weather.

Microsoft has witnessed substantial inorganic growth in the AI segment with the acquisitions of emerging AI companies such as Genee (US) and SwiftKey (UK). The company has also adopted partnerships and collaborations as its key growth strategies to grow in the AI in agriculture market. For instance, Microsoft India has collaborated with International Crop Research Institute for Semi-Arid Tropics (Icrisat) to develop a sowing app. The sowing app advises farmers on the best time to sow crops depending on weather conditions, soil, and other indicators. The sowing app has adopted Microsoft Cortana Intelligence Suite, including machine learning and business intelligence to empower farmers and government officials with technologies and promote digital farming practices among farmers

The company collects and analyzes over a billion data points each day to create a complete ag-weather data offering that is both hyperlocal and highly accurate. The company delivers the best-in-class weather and agronomic information to businesses and organizations worldwide. The company specializes in agricultural intelligence, agronomic modelling data, agricultural weather data, data management, climate-smart agriculture, and food security. It provides real-time data in crop suitability analysis, climate trend analysis, and pest and disease control and management

The company specializes in developing deep-learning image analysis and other advanced machine learning algorithms pertaining to agriculture. The company provides full-service development, including spinning-up secure instances of its platform, on which special purpose applications can be built. The company has expertise in machine learning and large data computation, with more than decades of experience working in highly rigorous and secure US national labs

The company offers an online software and sensor platform that maps land with various imaging technologies and delivers actionable insights to growers. Its continual imaging packages provide remote sensing and NDVI mapping for the precision land management of vineyard, commodity crops, and citrus crops. Mavrx provides agriculture risk management services using proprietary national imaging network, geospatial data science, and historic yield analysis to predict crop production and help farmers in optimizing profits. The company’s online software tracks all data layers, such as time, weather, soil, inputs, and images, to enable users to see all changes in one place

It is a leading software and data science company focused on the farming business. The company is working to make farming more efficient and profitable, while preserving and enhancing the value of the farmlands. The company provides a cloud-based software and analytics platform for the farming industry. It offers various solutions that allow producers to manage work assignments and analyze farm data for planning, operations, marketing, and accounting. Granular’s farm management software helps farmers run more profitable businesses by enabling them to manage their operations and analyze their financials for each of their fields in real time

The company develops artificial intelligence (AI) technology for applications in agriculture. Its offerings pertaining to AI include deep learning, computer vision, and data sciences. The company provides farmers and growers agricultural management solutions, involving advanced multispectral cameras and climatic sensors, to monitor crops. The company uses computer vision and artificial intelligence to help farmers analyze data gathered from their fields. It has also developed technology to automatically detect pests and diseases