How AI is being used in Agriculture ?

How AI is being used in Agriculture

Agriculture is both a major industry and an establishment of the economy. Circumstances, for example, environmental change, population growth, and food security concerns have provoked the industry to seek more innovative ways to protect and improve yield. Thus, Artificial Intelligence is relentlessly emerging as a part of the industry’s technological innovation.

Today, Artificial Intelligence is supporting different industries to enhance their productivity and efficiency. AI solutions are providing assistance to many industries to overcome traditional challenges. Essentially, AI in agribusiness is helping farmers to improve their efficiency and decrease environmental hostile impacts. Presently, AI is being strongly embraced by the industry to yield healthier crops, control pests, monitor soil, growing conditions, and organize data for farmers, and help them with the remaining tasks at hand and improving a wide range of agriculture-related errands in the entire food supply chain. Apart from that, the adaption of AI technology has helped the industry to control and deal with a wide range of uninvited natural conditions. 

Let us see how AI is being utilized in agriculture to improve results with a minimal environmental cost.

  • Forecasted Weather Data

In a propelled manner, AI is helping farmers to stay updated with information related to weather forecasting. The predicted data helps farmers to increase yields and profits without taking a chance with their harvests. The analysis of the generated data assists farmers to take all kinds of precautions by understanding and learning with AI. AI-driven technologies assist farmers to improve planning to create more generous yields by determining crop choice, the best hybrid seed selections, and resource utilization. Implementing such practices helps them to make a smart decision on time.

  • Monitors Crop and Soil Health 

AI can be used in an efficient way to direct and monitor it to identify possible defects and a wide range of nutrient deficiencies in the soil. With its image recognition approach, AI recognizes numerous potential defects using the images captured by the camera. Flora patterns in agriculture can be analyzed with the help of AI deep learning applications. Such applications are used to understand soil defects, plant pests, and diseases.

  • Decrease Pesticide Usage 

Implementation of computer vision, robotics, and machine learning, farmers can manage weeds. With the assistance of AI, data is gathered to monitor the weeds and help farmers to spray chemicals only where the weeds are present. This directly reduces the usage of chemicals spraying on an entire field. Consequently, AI reduces the usage of herbicide in the field in comparison to the volume of chemicals normally sprayed.  

  • AI Agriculture Bots

AI bots have helped several industries and made their work easier. AI-enabled agriculture bots have likewise helped farmers to find more efficient approaches to protect their crops from weed. It also helps the farmers to overcome the labor challenge. In the agriculture field, AI bots can harvest crops at a higher volume and at a quicker pace than human workers. By leveraging computer vision, it helps them to monitor the weed and spray on them. AI is helping farmers to discover increasingly effective ways to protect their crops from weeds.