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 Artificial 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.