AI in Agriculture
Artificial intelligence is also known as the deep learning function that imitates the human brain in processing data and creating patterns for use in decision-making including modern techniques for image processing.
Different techniques are used to analyze various agriculture problems such as disease detection, fruit or plant classification, and crop management process.
Artificial Intelligence (AI) in Agriculture Market Overview:
The global artificial intelligence (AI) in agriculture market size stood at $852.2 million in 2019, and it is expected to reach $8,379.5 million by 2030, exhibiting a CAGR of 24.8% during the forecast period (2020–2030). The major factors positively impacting the market include the increasing penetration of the internet of things (IoT) in the agriculture industry, rising demand for high crop yield, growing focus on enhanced crop management, and surging utilization of drones for pesticide spraying. Among all regions, North America retained the largest share of AI in the agriculture market in 2019 as its capability to adopt higher technologies in agriculture.
Use of Artificial Intelligence in Agriculture:
Weather Forecasting – We all know how weather conditions have been deteriorating. With climatic changes and increasing pollution, it has become difficult for farmers to analyze the right time to sow the seeds. Therefore AI comes into the picture, farmers can analyze weather conditions by using weather forecasting which helps them understand the type of crop that can be grown and when should seeds be sown.
Monitoring of soil and crop health – Due to a lot of deforestation and farm fires, the quality of the soil is worsening. Therefore a German-based Start-Up named PEAT has come up with an AI-based application that helps farmers to analyze nutritional deficiencies and understand what diseases the plants can have. The farmer can capture images of plants using smartphones. We can also see soil restoration techniques with tips and other solutions through short videos on this application.
Using Drones to analyze crop health- Drone-based Ariel imaging solutions for monitoring crop health are in thing these days. They produce precise 3-D maps for early soil analysis, useful in planning seed planting patterns. In this technique, data is captured by the drone and then transferred to USB into a computer which is later analyzed by experts.
It has a system to detect pests - Pest management is among the most important activities for a farmer. Monitoring all different species visually might not be possible, especially in large quantities. Therefore AI enables farmers. AI systems use satellite images and compare them with historical data using AI algorithms and detect if any insect has landed and which type of insect has landed like the locust, grasshopper, etc. then later it sends alerts to the farmers on their smartphones so that they can analyze and understand the type of pests and take required precautions.