AI in Agriculture

McMarvin's AI to help yield healthier crops, Control pests, Monitor Soil and growing conditions.

McMarvin implementing AI in Agriculture

The use of Artificial intelligence in agriculture helps the farmers to understand the data insights such as temperature, precipitation, wind speed, and solar radiation. The data analysis of historic values, offers a better comparison of the desired outcomes. The best part of implementing AI in agriculture that it won’t eliminate the jobs of human farmers rather it will improve their processes.

  • AI provides more efficient ways to produce, harvest and sell essential crops.
  • AI implementation emphasis on checking defective crops and improving the potential for healthy crop production.
  • The growth in Artificial Intelligence technology has strengthened agro-based businesses to run more efficiently.
  • AI is being used in applications such as automated machine adjustments for weather forecasting and disease or pest identification.
  • Artificial intelligence can improve crop management practices thus, helping many tech businesses invest in algorithms that are becoming useful in agriculture.
  • AI solutions have the potential to solve the challenges farmers face such as climate variation, an infestation of pests and weeds that reduces yields. Impact of Artificial Intelligence in Agriculture.

    AI technology is rapidly rectifying the problems while recommending specific action that is required to overcome the problem. AI is efficient in monitoring the information to find solutions quickly. Let’s see how AI is being used in agriculture to improve results with a minimal environmental cost. By implementing AI can identify a disease with 98% accuracy. Thus, AI helps farmers monitor the fruit and vegetable by adjusting the light to accelerate production.

McMarvin – Popular applications of AI in agriculture

The most popular applications of AI in agriculture appear to fall into these major categories:

Forecasted Weather data

  • AI in an advanced way is helping the farmer to remain updated with the data related to weather forecasting. The forecasted/ predicted data help farmers increase yields and profits without risking the crop. The analysis of the data generated helps the farmer to take the precaution by understanding and learning with AI. By implementing such practice helps to make a smart decision on time.

Monitoring Crop and Soil Health

  • Utilizing AI is an efficient way to conduct or monitor identifies possible defects and nutrient deficiencies in the soil. With the image recognition approach, AI identifies possible defects through images captured by the camera. With the help of Al deep learning application are developed to analysis flora patterns in agriculture. Such AI-enabled applications are supportive in understanding soil defects, plant pests, and diseases.

Decrease pesticide usage

  • Farmers can use AI to manage weeds by implementing computer vision, robotics, and machine learning. With the help of the AI, data are gathered to keep a check on the weed which helps the farmers to spray chemicals only where the weeds are. This directly reduced the usage of the chemical spraying an entire field. As a result, AI reduces herbicide usage in the field comparatively the volume of chemicals normally sprayed.

AI Agriculture Bots

  • AI-enabled agriculture bots help farmers to find more efficient ways to protect their crops from weeds. This is also helping to overcome the labor challenge. AI bots in the agriculture field can harvest crops at a higher volume and faster pace than human laborers. By leveraging computer vision helps to monitor the weed and spray them. Thus, Artificial Intelligence is helping farmers find more efficient ways to protect their crops from weeds.

McMarvin is helping the farmers to monitor their crops without the need to invigilate personally into the farm. AI is redefining the traditional pattern of agriculture. The future of AI in agriculture is way ahead in offering radical transformation with advanced approaches.