AI Today Podcast #84: AI in Agriculture — Use Case Series
Apr 10, 2019
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Cognilytica analysts Kathleen Walch and Ronald Schmelzer discuss how AI is transforming the agriculture industry, including optimizing yield, battling pests, forecasting, farm labor, personal level uses in agriculture, and future adoption of AI in the industry.
AI technologies in agriculture improve farm efficiency and enhance overall production.
Agricultural robots and chatbots address labor challenges and assist farmers in making informed decisions.
Deep dives
AI transforming the agriculture industry
The agriculture industry, representing $5 trillion worldwide, is turning to AI and cognitive technologies to optimize farm planning and increase yield. AI is being used to improve farm efficiency, make smarter decisions about resources, and enhance overall production. It combines ground data from agricultural devices with computer vision and deep learning algorithms captured from drones and other equipment to analyze images in real-time. AI also aids in precision agriculture by detecting diseases in plants, targeting weeds, and improving harvest quality. Additionally, AI technologies, such as software chatbots and robotic hardware, are solving farm labor challenges and assisting farmers in making informed decisions.
AI bots and robotic assistance on farms
Agricultural robots and AI-powered chatbots are increasingly being used on farms. Robots assist in harvesting crops, identifying and spraying weeds, surveying land, and providing automated farm labor. Chatbots provide virtual support, answer questions, and offer advice to farmers. These technologies are particularly valuable for small and organic farms, as well as in developing countries with limited access to resources and data. They help address the declining agricultural workforce, which is estimated to decline by 6% between 2014 and 2024.
The future of farming and AI
The future of farming is evolving with AI and cognitive technologies. It includes urban farming, self-contained farming systems, and chatbots for personal farming. The use cases for AI in agriculture are vast and continue to expand across industries. AI-driven technologies enable farms to run more efficiently, produce higher yields, and meet food demands. As AI adoption increases, we can expect to see further advancements and innovations in the agriculture industry.
The agriculture industry is turning to AI technologies to improve a wide range of agriculture-related tasks in the entire food supply chain including help yield healthier crops, control pests, monitor soil and growing conditions, help reduce the workloads, and organize data for farmers. In this podcast, Cognilytica analysts Kathleen Walch and Ronald Schmelzer discuss how AI is being used in the agriculture industry.