Top 8 Computer Vision Use Cases in Agriculture

1. Top 8 Computer Vision Use Cases in Agriculture The era of technology and innovations has drastically transformed our lives over the last few decades. It is beyond our imagination what these technologies can accomplish. Computer Vision Technology is quickly becoming a viable solution for many agricultural applications. The technology can provide insights about crop health, identify weeds, and track the growth of livestock. By leveraging the data science generated from computer vision systems, farmers can make smarter decisions that will lead to improved yields, automation, and efficiency in farming life. Computer vision technology is becoming popular with the agribusiness industry because it allows them to break down complex tasks into smaller parts that can be managed more easily. Additionally, these platforms offer high levels of accuracy and flexibility that allow farmers to better understand their crops, soil conditions, and animal health. Smart agriculture and precision agriculture are leading innovations for future-ready digital farming. According to a report by the Food and Agriculture Organization (FAO), AI-driven precision agriculture can increase crop productivity by up to 30% while reducing water usage by 25%. The global AI in agriculture market is expected to reach $4.7 billion by 2028, growing at a CAGR of 23.1% from 2023 to 2028, according to MarketsandMarkets. What is Computer Vision? A computer vision system interprets and processes digital images or videos by using algorithms and computer systems developed in the field of Artificial Intelligence. It uses technologies such as machine learning and deep learning to accurately recognize objects, detect patterns, classify images, and understand scenes. Computer Vision Solution enables machines to see the world the way humans do. It has enabled several applications in various industries such as healthcare, automotive, retail, security & surveillance, agriculture, etc. Computer vision development services are typically provided by some of the top computer vision companies in India. These companies have expertise in developing customized computer vision solutions based on customer requirements that can help businesses automate their processes and

2. improve their efficiency. They combine software development, AI for business, and mobile application development for real-world impact. Research from the International Food Policy Research Institute (IFPRI) suggests that AI-driven crop disease detection using computer vision can reduce yield losses by 15-20% annually. The global computer vision market is projected to grow from $17.2 billion in 2023 to $45.7 billion by 2028, with a CAGR of 21.5%, reflecting increasing investment in automation and precision agriculture. How Computer Vision Solutions Are Helpful in Agriculture Computer Vision is a rapidly growing field of technology that has been beneficial in many industries, including agriculture. Computer vision can help farmers by providing data-driven insights into crop growth and soil health, allowing them to make more informed decisions about their crops. The global AI in computer vision market is expected to be valued at USD 17.2 billion in 2023 and is projected to reach USD 45.7 billion by 2028, growing at a CAGR of 21.5% from 2023 to 2028. Computer Vision Solution provides an effective way to analyze images taken from aerial or satellite views and convert them into valuable information for agricultural applications. By leveraging advanced computer vision platforms, top computer vision companies in India are helping farmers gain access to remote sensing data so they can better manage their land and crops using smart farming practices. In this article we will discuss the top computer vision use cases in the agriculture industry and how businesses are utilizing this technology to help them achieve greater efficiency in farming operations. Here are some of the top use cases of Computer Vision in agriculture: Top Industry Applications of Computer Vision in The Agriculture

3. Here are the top use cases where AI-powered computer vision solutions are making a significant impact in the agriculture sector: • • • • • • • • Drone-based Crop Monitoring Crop Sorting and Grading Pesticide Spraying with Drones Computer Vision Phenotyping Livestock Farming Vertical Farming Aerial Survey and Imaging Yield Analysis About US: Recognizer provides the Top-notch end-to-end Computer Vision Solution Platform Recognizer.Solutions Recognizer is a unique AI and computer vision-based solution which helps to classify as well as identify the real-life useful objects like texts, scenes, human faces, persons, vehicles etc. from images and videos. It also helps to annotate and detect customize objects without prior knowledge of AI. Schedule a Free Product Demo Now! Schedule a Free Product Demo Now! Stay tuned! Exciting AI-driven innovations in agriculture are coming soon!