• Nutrition —— AI agriculture

  • Introduction

    Why use AI agriculture？

    With the development of society, people demand more food. In order to cultivate more healthy and nutritious food, we need more advanced technology to create an environment and control planting conditions.

    Background

    With the continuous development of artificial intelligence, while artificial intelligence has an impact on all industries around the world, it has also produced major changes in the labor market. Look back at history. Since the first industrial revolution, technology has not only replaced human work in a large amount, has led to changes in the global employment structure and the nature of work, but has also spawned a number of new concepts of jobs.

       In recent years, the involvement of AI technology in the work environment has brought positive and negative effects on social labor relations. When we talk about the relationship between AI and labor, people will always say that AI will cause most people to lose their jobs. Now let’s discuss the pros and cons of AI’s labor saving issues.

  • Agricultural uses of drones

    Wendy

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    The development of drones in agriculture


    • history      		 
    • Technical Update

    According to reports, the existence of drones in agriculture can be traced back to Japan's crop dust removal in the 1980s.In 1990, Japan's Yamaha Corporation took the lead in launching the world's first drone, which is mainly used for spraying pesticides. By 2027, the agricultural drone market is expected to reach US$480 million. Drones are developing rapidly in the agricultural market. Monitoring the health of crops is a great convenience, and can harvest more good crops more effectively. With the development of technology, drones have more and more technologies in agricultural operations.

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    Advantages of drones in agriculture

    • Faster
    • All-around

    Unmanned aerial vehicles make agricultural cultivation faster and more efficient, and the coverage rate is wider.

  • The development of drones in agriculture

    In order to improve the efficiency and safety of pesticide spraying, plant protection drones to serve agriculture first developed rapidly in developed countries such as Japan and the United States. In 1990, Japan's Yamaha Corporation took the lead in launching the world's first drone, which is mainly used for spraying pesticides.

    From the function of spraying pesticides to detecting soil and monitoring crops, drones now have more functions. In agricultural drones, the advantages outweigh the disadvantages. As a result, agricultural drones are now more and more widely used, and technology is developing faster and faster.

    1. Plot and soil analysis

    Agricultural drones equipped with high-definition cameras and advanced sensors can draw accurate three-dimensional maps of plots and soil analysis, make detailed plans for planting, and play a vital role in the initial stage of agricultural production. At the same time, this category of agricultural drones can also closely monitor the condition of the land, providing powerful data support for later irrigation and soil nitrogen content management.

    2. aerial seeding

    Scientists racked their brains and developed a complete drone seeding system. The system can simultaneously inject seeds and all the nutrients needed for their growth into the soil. This technology increases the nutrient absorption rate of seeds by 75% and reduces the cost of sowing by 85%. Not only does it ensure the survival rate of the seeds, but it also reduces the consumption of other resources, which can be described as killing two birds with one stone.

    3. Spraying operation

    Agricultural drones equipped with ultrasonic, radar, and advanced spraying systems are widely used in plant protection operations and are also known as plant protection drones. This type of UAV can continuously adjust the flight height according to the geographical terrain and autonomously recognize and avoid obstacles, relying on the advanced spraying system to implement precise and even spraying operations on crops. This technology greatly reduces the number of pesticides and reduces the pollution of water bodies and the environment from plant protection operations. According to expert estimates, compared with traditional machinery, plant protection drones have an operating efficiency of up to 5 times, which will greatly reduce the consumption of manpower and material resources.

    4. crop monitoring

    Large plots and low crop monitoring efficiency are another major pain point in agricultural production. As the global temperature rises and climate change becomes more and more volatile, the management and maintenance of land conditions have become increasingly difficult. In the past, farmers mainly relied on satellite images to assist in crop monitoring, but the cost was too high and they needed to be pre-purchased in advance, and the daily service efficiency of one sheet was difficult to provide real-time and accurate crop monitoring information. Agricultural drones equipped with real-time imaging systems came into being, providing farmers with more accurate monitoring of the growth of crops and taking timely and effective control measures to provide a reliable and effective guarantee.

    5. Agricultural irrigation

    Agricultural drones equipped with hyperspectral, multispectral, and thermal sensors can accurately analyze and identify the arid area of the plot and provide powerful data support for precision irrigation operations. In addition, in the process of crop growth, this type of drone can also calculate the vegetation index, and analyze the crop density and health status through the heat emitted by the crop itself.

    6. Crop health assessment

    The health assessment of crops and timely detection of pests and diseases are some of the necessary guarantees for high-quality agricultural production. Equipped with visible infrared and near-infrared emission equipment, agricultural drones can accurately analyze the amount of green and near-infrared light reflected by crops and draw multispectral images to track changes and the health status of crops. Farmers can make quick and effective prevention and control methods based on the corresponding data to protect crops from pests and diseases, thereby significantly improving the efficiency of agricultural production.

    In short, with the rapid growth of the global population and the continuous increase of human demand for agricultural products, highly intelligent agricultural drones will certainly play an increasingly important and indispensable role in future agricultural production.

    SkySquirrel Technologies Inc. is one of the companies bringing drone technology to vineyards. The company aims to help users improve their crop yield and to reduce costs. Users SkySquirrel Technologies Inc. – Drones and Computer Vision for Crop Analysispre-program the drone’s route and once deployed the device will leverage computer vision to record images that will be used for analysis.

  • Advantages of drones in agriculture

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    Drones naturally fit into the agricultural world, where farmers can benefit from real-time information about large tracts of land. Drones can help track almost everything, including water use, crop health, heat signals, and soil analysis. Expensive aerial surveillance that used to be only occasionally performed on airplanes can now be done weekly or even daily using drones that only cost hundreds of dollars.

    Pesticide spraying is an important part of farmland cultivation, which is related to the healthy growth of crops. Artificial pesticide spraying requires a lot of manpower and time, and pesticides are harmful to the human body. The pesticide spraying coverage rate of drones is wide and fast. People only control drones without contact with pesticides, making them safer.

    At the same time, drones save more pesticides than manual spraying. According to the news report that the Zhuhai Yuren agricultural drone is equipped with a precise and efficient spraying system, the fan-shaped pressure nozzles are distributed horizontally, so that the spray width exceeds 9 meters, and the spraying efficiency is higher, reaching 200 mu per hour. The strong airflow under the propeller increases the penetration of the spraying agent so that the spraying is more uniform and the effect of the agent is better. The unique nozzle design can save at least 50% of pesticide usage and 90% of water consumption, which is environmentally friendly and cost-saving.

  • Airdoc's diet

    Domestic per capita income is getting higher and higher, and living standards have been greatly improved. In addition to the basic food and clothing for three meals a day, people's awareness of healthy living continues to increase, and the nutrition industry also develops rapidly.

    Green health is becoming one of the trends. AI+ has gradually covered all walks of life, and the health sector is the first to bear the brunt.

     

    The occurrence of diseases is often related to eating habits. With the development of society and the acceleration of the pace of life, our dietary choices are becoming more and more unfavorable to our health. Many researches have shown that bad eating habits will bring us to our bodies. Huge problem, even cancer

    , the image recognition capabilities of artificial intelligence have been widely recognized. For example, great progress has been made in the field of face recognition. Baidu Brain has already defeated the most powerful human brain in face recognition.

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    Airdoc's diet

    nutrition analysis

     

    In food recognition, artificial intelligence can also play a huge role. Deep learning is one of the main research areas of artificial intelligence.

     

    With the help of big data, the analysis of nutritional intake effects will become easier. Some big data vendors have launched big data analysis tools with "self-service" capabilities. In the process of data analysis, information technology will be less and less involved, and big data analysis will increasingly be integrated into all aspects of people's lives , Including analysis of the effects of nutritional intake.

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    Airdoc's diet

    nutrition analysis

    The computing speed and capacity of the machine are more suitable for memorizing the nutrient elements of different foods than human beings. The artificial intelligence and the food nutrient element database are connected together, and the food types are identified through algorithms, and then the nutrient content of the food can be known.

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    Airdoc's diet

    nutrition analysis

    Three times a day, based on artificial intelligence computer vision recognition and machine learning, take a picture before enjoying the food, and it will automatically analyze the nutritional structure of the food. Food can be monitored, analyzed, and evaluated, so that individual nutrition intake can be managed reasonably.

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    Airdoc's diet

    nutrition analysis

    People’s requirements for a healthy diet are increasing year by year, but there is a very real problem. The nutrition knowledge of residents is not universal. According to the survey, in Japan, every 300 people are assigned a nutritionist; in the United States, every 4,000 people are assigned a nutritionist. ; In China, there is one nutritionist for every 400,000 talents. Compared with developed countries, there is a huge shortage of public nutritionists in developing countries.

     

    The application of artificial intelligence in the field of healthy eating is equivalent to having a private nurse around every user, who can help you analyze food nutrition anytime and anywhere, and make dietary recommendations, which will help us shape our bodies, maintain health, and have high quality life.

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  • AI in the agriculture indusrty

    analyzes and predicts farmland Internet of Things data and remote sensing images or farmland hyperspectral images that farmers can use to build more accurate and effective crop planting AIpatterns

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    Extensive data capture and analysis

    AI tracks and analyzes a large number of data points, which can improve information accuracy, and farm managers can use drones to scan large areas of land and identify the exact location of plant diseases or insect infestations in real time.

  • Predictive analytics

    Use AI tools to predict weather patterns that can help farmers glimpse the future to improve planning and farm management。

    Ai weather forecast

  • Screening Seeds

        Seed is an indispensable and necessary material for agricultural production. The quality of seed is an internal element that affects crop yield. It is the core carrier and key to various technical measures, especially seed screening. At present, there are two main methods for seed screening: one is water selection. This method uses the characteristics of different densities to screen seeds; however, for some seeds that have densities that are the same as intact seeds, but have undergone physical damage and broken seeds, the water selection method cannot be selected. Another method is the machine selection method, but this method will cause certain damage to the seeds, but it is also prone to problems such as low seed purity and low clarity. At this time, the existing methods should be merged with AI data based on the method of machine selection, and the screening device should be 3D modeled. Furthermore, a small multi-functional seed screening device with simple structure, practical and easy-to-use is designed. This device integrates water selection and machine selection. By replacing the screening buckets with different screening holes through AI, it can achieve high seed selection for various crops quality screening. So as to screen out high-quality seeds.[1]

  • Artificial Intelligence in Screening Seeds

               Artificial intelligence is a new technical science that researches and develops theories, methods, technologies and application systems for simulating, extending and extending human intelligence. It can be simplified to make mechanical equipment do some intelligent work that only human beings can do in the past. And seed selection is a very suitable for to do the work that the artificial intelligence, in the past, people often use salt water to screening of seeds, it is a more effective method, but the ratio of the brine is accurate more difficult, is also a relatively cumbersome thing, and after the screening of times, seeds will take away the salt brine density is reduced, and it need to add salt, otherwise will lead to filter is not enough precise, and if you accidentally add too much salt, require water to allocate, of operation is very time consuming.

    Seed Vigor

              Seed vigor reflects the potential germination and emergence of seeds under adverse conditions. The seed vigor is formed during the seed development and the accumulation of storage material is the basis of the seed vigor formation. With the maturation of seeds, proteins, starch and other substances in the body gradually accumulated, and the germination rate and activity of seeds also gradually increased to the peak of physiological maturity. With the increase of storage time, the vigor of harvested seeds will gradually decrease. The complexity of crop seed production and the unpredictability of seed markets, coupled with global climate change, extreme weather, and the frequency of natural disasters, require annual adjustment of large amounts of crop seed storage. However, due to improper storage methods, crop seeds will be discarded as useless, and crop seeds can only be sold as ordinary grain, which causes huge economic losses and even seriously affects the development of crop industry. Generally speaking, aging, storage pests and mildew in the process of seed storage can only cause the inactivation of some seeds in batch seeds, but not all seeds. Therefore, high-vitality seeds can be screened from batch seeds through appropriate technology.[2]

  • Group Members

    Wendy

    Chloe

    Charlie

    Norton

    Jose

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  • References

    [1] Screen the seeds of some Scottish plants for free radical scavenging activities, Yashodharan Kumarasamy Maureen Byres Philip J. Cox Marcel Jaspars Lutfun Nahar Satyajit D. Sarker, 14 March 2007

    [2] https://baike.baidu.com/item/%E7%9B%90%E6%B0%B4%E9%80%89%E7%A7%8D/5934550

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