Artificial intelligence (AI) supports various industries to improve productivity and efficiency. AI solutions have helped businesses overcome the traditional challenges that exist in the business process and operations.
Similarly, AI in agriculture helps farmers improve their efficiency and reduce negative impacts on the environment. The agriculture industry is one of the early adopters of AI. It has implemented AI tech into its practice to derive a positive effect on the overall outcome. AI is also changing the way food is produced. It has helped reduce the agricultural sector’s emissions by 20%. Implementing AI is helping to control and manage any unexpected natural condition.
Today, many agriculture-focused startups are adopting AI to increase the efficiency of agricultural production. A study on the global Artificial Intelligence (AI) in Agriculture shows that the revenue from this market is expected to reach 1550 million US$ by the end of 2025. By implementing AI-powered approaches, agricultural companies and farmers can detect diseases or climate changes sooner and respond swiftly. Agricultural businesses are processing data to reduce adverse outcomes using AI.
The use of AI aids the farmers to comprehend insights from data as temperature, precipitation, wind speed, solar radiation, etc. The AI model analyzes historical values, offers prescriptive solutions. AI in agriculture won’t eliminate the jobs of human farmers. It will enhance their existing processes.
AI technology is rapidly addressing the problems while proactively suggesting specific actions required to overcome the problem. Let’s explore how AI is used in agriculture to improve results with a minimal environmental cost. By implementing AI, farmers can identify a crop disease with up to 98% accuracy. Thus, AI helps farmers monitor the produce by adjusting the data to expedite production.
AI is aiding the farmer to remain updated with the data related to weather forecasting. The forecasted/ predicted data aid farmers increase yields and profits without risking the crop. The analysis of the data generated enables the farmer to take the precaution by understanding and with AI. By executing such practice ensures smarter decisions in time.
Using AI is an efficient way to monitor and identify possible defects and nutrient deficiencies in the soil. With the image recognition approach, AI identifies potential weaknesses through images captured by the camera. With the assistance of AI and deep-learning applications are developed to analyze patterns. It helps in understanding soil defects, plant pests, and diseases.
Farmers can use AI to manage weeds by implementing computer vision, robotics, and machine learning (ML). With the AI’s assistance, data is gathered to keep a check on the weed, helping the farmers spray chemicals only where the weeds are. It directly reduces the usage of the chemical spraying an entire field. This, in turn, reduces herbicide usage in the fields comparatively the volume of chemicals usually sprayed.
AI-enabled agriculture bots empower farmers to find more efficient ways to protect their crops from weeds. It is also aiding to overcome the labor challenge. AI bots can harvest crops at a higher volume and faster pace than human farmers. By using computer vision, the machine can monitor the growth of weeds and remove them. Thus, AI is assisting farmers in finding more efficient ways to protect their crops from weeds.
AI is utilized in a wide range of industries such as finance, transport, healthcare, and now in agriculture. It is helping farmers monitor their crops without the need to be physically present in the farm. Many startups and enterprises are looking forward to developing AI and its uses within the agricultural context. AI is redefining traditional farming.
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