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<br>When weather strikes or crops are affected by disease, farmers can hardly talk about yields. Or, when a pandemic occurs, all of a sudden, the various processes become more difficult to manage because most of them are not digital.<br>
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Applications of artificial intelligence in agriculture When weather strikes or crops are affected by disease, farmers can hardly talk about yields. Or, when a pandemic occurs, all of a sudden, the various processes become more difficult to manage because most of them are not digital. At the same time, the world's population is growing and urbanization continues. Disposable income is on the rise and consumption habits are changing. Farmers are under great pressure to meet growing demand and need a way to increase their productivity. In 30 years, there will be more people to feed. And because the amount of fertile soil is limited, there will be a need to go beyond traditional agriculture. We need to find a way for farmers to minimize the risk, or at least make it manageable. Implementing artificial intelligence in agriculture globally is one of the most promising opportunities. AI could potentially change the way we look at agriculture, allowing farmers to achieve more with less, while bringing many other benefits. However, AI is not a standalone technology. AI can complement already implemented technologies as the next step from traditional agriculture to innovative agriculture.If you are thinking to implement AI technology then you can get know How Much Do AI Projects Really Cost
Now let's look at some areas where AI is being applied, along with its impact and impact on agriculture and agribusiness. On-site preparation We have the skills to properly evaluate your site layout and guide your tractor (with or without a driver) to prepare your site in a way that maximizes production. These technologies can operate without drivers and can accurately assess the location of land to maximize land use. Sowing seeds This is one of the applications of Artificial intelligence in agriculture , AI-powered robotic applications can now sow seeds in a straight line with appropriate spacing, replacing seed drilling and manual sowing. Pesticide spraying Pesticides, herbicides and other pesticides are usually applied throughout the plant, sometimes randomly around unaffected areas. Current innovations in image-based analysis allow drone-based atomizers to target infected areas of factories. Disease diagnosis The New Age AI-powered app allowed farmers to click on pictures of disease-infected crops and get a real-time probability score for the infected disease. Nutritional Deficiency Assessment As in the case of disease diagnosis, here too, the farmer has to click on a crop picture to get a real-time nutritional deficiency probability score. However, a physical examination is recommended for an accurate diagnosis. Application of fertilizer Users can now map the location of land based on existing soil nutrients. This is very useful for the application of Urea, DAP, MOP, SSP and separate N, P and K which can be applied properly to the ground without compromising soil health. Irrigation arrangement Technologies that monitor the timing, flow, amount and rate of water release ensure that water is used most productively, based on historical data on soil health and soil nutrients. Yield evaluation Techniques exist to look at environmental factors and soil conditions to predict yields for the upcoming season. There are also image-based technologies that look at farm images of palm, rubber, sugarcane, tea, coffee, coconut, apple, mango, and more, and provide approximate yields.
Crop harvest Machines can now harvest crops more accurately and cleaner thanks to AI. This is again done by viewing the image and cropping the crop to maximize yield. Quality assessment Now, with AI-powered technology, farmers and businesses can take pictures of their products and display the quality results of their products on the screen in real time. This result shows the number and weight of items with considerable accuracy. Use of Agricultural Insurance The combination of the above techniques for weather, yield, and quality can be used by insurance agencies as reliable data-driven measures to tailor tailored insurance policies and settle claims. Determination of processing mixtures AI makes it easy to get the right processing mix for both food and feed items. This mix can be further customized based on animal type, growth stage, diet preferences, and more. Using banking applications In particular, the results of the above techniques on yield and quality can be shared by banks to obtain loans. Banks can use this data as a basis for financing, given their reliability and discoverability. If you are interested to know more about AI , you can also check A rtificial intelligence in banking sector . Advantages AI Enables Better Decision Making;l Predictive analytics really benefits the agricultural industry. It helps farmers solve key agricultural challenges such as analyzing market demand, forecasting prices, and finding the best time for sowing and harvesting crops. AI-powered machines can also judge soil and crop health, provide fertilizer recommendations, monitor weather and even determine crop quality. All of these benefits of AI in agriculture will enable farmers to make better decisions and farm more efficiently. AI brings cost savings. Precision farming with AI-enabled equipment helps farmers grow more crops with less resources and cost. AI provides real-time insights to farmers so they can make the right decisions at each stage of agriculture. This right decision reduces product and chemical losses and saves time and money efficiently.
AI reduces labor shortages. There has always been a labor shortage in the agricultural industry. AI can solve this problem with agricultural automation. AI and automation allow farmers to complete tasks without requiring more people. Some examples include unmanned tractors, smart irrigation and fertilizer systems, smart spraying, vertical farming software, and AI-powered robots for harvesting. Artificial intelligence-powered machines and equipment are much faster and more accurate than human farmhouses. The Future of AI in Agriculture: A Farmer as an AI Engineer? Throughout human history, technology has long been used in agriculture to increase efficiency and reduce the amount of intensive labor associated with agriculture. From improved plows to irrigation to tractors to modern AI, humans and agriculture have evolved since the invention of agriculture. The increasing and increasingly affordable availability of computer vision will be another important step forward here. With significant changes in climate, environment and global food demand, AI can transform 21st century agriculture by: ● Increased efficiency of time, labor and resources. ● Improving environmental sustainability. ● Make resource allocation "smart". ● Provides real-time monitoring to improve the health and quality of agricultural products . Of course, this will require some changes in the agricultural industry. A farmer's knowledge of his "field" must be translated into AI training, which will depend on further investment in skills and education within the agricultural sector. But again, innovation and adaptation are not new in agriculture. Computer vision and agricultural robots are the latest ways in which farmers can adopt new technologies to meet growing global food demand and enhance food security. If you are interested read more about Computer Vision Applications in Precision Agriculture Conclusion: In summary, AI will be a powerful tool that can significantly address resource and labor shortages and help organizations cope with the increasing complexity of modern agriculture. It's time for large corporations to invest in this space.talk to our experts of Artificial intelligence development company in USA to know more about
Can AI replace the knowledge farmers always had? It may not be responsive at the moment, but in the near future, AI will complement and challenge the way we make decisions and improve agricultural practices. Such technological interventions have the potential to improve better agricultural practices, yields, and quality of life for farmers. Author Bio: I am Harika. I work as a SEO Executive at USM Business systems, The best Mobile app development company IN USA , experienced in the creation of iOS and Android apps. and I love to explore and write the Articles on latest Mobile app development trends, Artificial intelligence and Internet of Things, For more reference you can Also follow me on LinkedIn .
