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Computer Vision-based Applications for Agriculture In 2023

Computer Vision Applications for Agriculture

The agriculture industry is vast, with all of today’s food, medicines, clothing etc. coming straight out of the various processes and systems that are involved in sowing, maintaining, and harvesting of a large suite of crops that exist today. Ever since the inception of agriculture, from traditional methods of ploughing and raking through vast fields of crops, to more wooden implements that eased some of the pain in manual labor, and lastly to modern heavy machinery, which is still being updated with modern technology, agricultural growth has been having significant development. However, agriculture can still benefit further from artificial intelligence, more specifically computer vision, as it is bringing a wave of technological revolution to every field it is touching. More specifically, computer vision is aiding the development of smarter technology.

How Will Computer Vision help Agricultural Growth?

Computer vision can help in making agricultural harvest smart, and even automated to a certain extent. AI can save agriculture from various factors such as climate change, environmental changes, population growth as well as subsequent bursts in demand. AI can improve crop production, harvesting, production and distribution alongside real-time monitoring by machines, allowing farmers to relax while programmed machines can keep an eye on the crops. Prisma AI is also innovating for the same, to develop high-end solutions that can help agricultural startups and simple farms, alongside major agriculture-based conglomerates:

Harvesting and Sorting

AI can automate harvesting processes by using computer vision and robotics. Machine learning algorithms can identify ripe fruits or vegetables and direct robotic arms to pick and sort them efficiently. This technology reduces labor costs, increases harvesting speed, and minimizes waste.

Disease & Pest Detection

Computer vision algorithms are capable of detecting early traces of diseases or pest infestations in plants by analyzing visual cues such as discoloration, lesions, or insect presence. Early detection and prevention of such symptoms can minimize crop losses.

Computer Vision in Livestock Monitoring

Computer vision is a useful tool in monitoring the health and behavior of livestock. Body behavioral analysis and image processing techniques can track animal movements, detect signs of distress, monitor feeding patterns, and assist in development of automated systems for livestock management and welfare.

Automated Harvesting and Sorting using Visual AI

Robotic heavy machinery and equipment which has computer vision integrated into it can automate crop harvesting processes, ensuring high efficiency and accuracy in fruit or vegetable picking. Additionally, computer vision can aid in sorting produce based on size, shape, color, or quality, ensuring consistent grading standards.

Computer Vision-based Drone Surveillance

Drones used for surveillance can give a top-down view of entire farm fields which can help in better analytical surveillance and save time, while also allowing more overall coverage in large fields.

Smart Greenhouse Management

Greenhouse operations can be enhanced by monitoring environmental conditions, such as temperature, humidity, and light levels, using thermal cameras and sensors. It can also analyze plant health indicators and automate tasks like watering or adjusting climate control systems, maximizing crop productivity and resource efficiency.

Many other potential applications in agriculture are making their way to the forefront of technological innovations, as more agricultural companies are adopting.

Agriculture for the Future

Technology is growing, along with the potential applications it can bring. Artificial intelligence is the best thing to ever come out of technology, as it has resulted in the automation of most aspects necessary to run today’s world. Agriculture, being a focal point for the sustenance of the human race is also facing potential automation and big improvements in its processes.

As artificial intelligence continues to unveil more possibilities, particularly in the field of computer vision, the agricultural sector will be benefitted with greater efficiency, quality of output, and most important, automation. Prisma AI is striving for the development of more solutions that can assist in this endeavor.

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