AI In Agriculture – Future Applications & Its Tools
Agriculture is one of the oldest and crucial industries in the globe, and it is the foundation of the economy. AI technology entering every sector to boost their efficiency and productivity. AI solutions are taking sides in overcoming the traditional outbreaks in every sector.
The antagonistic environmental impacts, such as population increase, climate change, and food security issues, have propelled the agriculture sector into seeking a more ground-breaking attitude for shielding and recuperating crop yield.
Because of this, AI became progressively promising to become part of the agriculture industry’s technological advancement.
The agriculture industry added value of just under 1% of the USA GDP for the 2016 year. According to the US EPA, the agriculture sector is causative $330 billion in annual revenue of the global economy.
AI in the agricultural industry
USM Artificial intelligence research team has given some trendy applications of Artificial intelligence in the agriculture sector that appear in three major sections.
Crop and soil monitoring
Organizations are taking advantage of computer vision & deep-learning algorithm to process the information or data received by the drones to keep an eye on crop & soil health.
Trace Genomics is a California-based organization that offers soil study services to farmers. Trace Genomics raised $8 million funding on equity basis from six companies in February 2017.
The Illumina helped to build a system that utilizes machine learning. The systems are used to make available clients with a sagacity of their soil’s strengths and weaknesses.
The primary reason behind the building of the system is to thwart defective crops & optimizing the probable for healthy crop development.
According to the resources of the companies official website, once a farmer submits a sample of their farm soil to the company, afterward, the customer will get a detailed summary of their field soil contents.
They will offer a package that provides a pathogen screening that mostly targets on bacteria, fungi, and comprehensive microbial evolution.s
On the website, you can find the information related to how the company exclusively enhanced outputs.
For the first time, drone technology is used in Japan in the year 1980 for crop dusting. Today most of the companies are taking advantage of the agriculture AI & aerial technology to keep an eye on crop health.
The company’s primary endeavor is to decreases the costs and improves crop growth.
Users preprogram the drone’s route; then, they will integrate with the device. After that, the computer vision will record pictures that will be used for examination.
Once the drone completes its revolution, customers can bring that USB and plug in to save the information to the cloud.
The company utilizes different algorithms to amalgamate & examine the taken pictures. It provides a detailed report on the wellbeing of the vineyard, mostly the circumstances of grapevines leaves.
Grapevine leaves are mainly affected by grapevine diseases like bacteria and molds, interpreting the wellbeing of the leaves is often a suitable replacement for considerate the health of the plants & their fruit as a complete package.
Based on estimation, the market for drones agriculture is projected to reach $480 million by the end of 2027. The company can scan 50 acres of land in 24 minutes & gives data investigation with 95% accuracy.
Harvest CROO Robotics
Currently, everything is automating at a rapid speed that helps to handle the challenges that are facing by workforce labor.
According to the sources, it is estimated that there will be a 6% decline in agricultural works from 2014 to 2024.
Lack of laborers leads to loss of million dollars in crucial farming areas like Arizona and California. The firm has developed a sovereign system that helped strawberry farmers to pick & pack.
The company raised $2.8 million from farms and investors, among which 20% of them belong to USA strawberry production.
In the Florida region, Hillsborough country is known as Nations winter strawberry capital. In a season, the area farms 10k-11k acres of strawberries.
The robot has the capacity to harvest 8+ acres in 24 hours, and the robot can replace 30 human laborers.
Based on a report estimation, 40% of annual agricultural fields overheads are divided into Salaries, contract labor expenses, and wages for the fields like vegetables & fruits, where labor requires to be liable to be maximum.
Blue River Technology
Currently, weed control became the primary concern for the farmers, and that is an ongoing defy as herbicide conflict becomes a routine place. species
According to an estimation, 250 various types of weeds have to turn out to be defiant to herbicides. In another research, they stated that the effect of uncontrolled weeds on soybean crops and corn making losses around $43 billion for farmers.
NCBI sources say that more than 1 billion pounds of pesticides are utilized in the agricultural fiend annually in the USA.
The Role of artificial intelligence in the agriculture sector, helping farmers to find various competent approaches to safeguard their farms from the pests or weeds.
The company developed a See & Spray robot that uses CV (computer vision) to observe and accurately send out weeds on the cotton plants. The precision spray helps to thwart herbicide resistance.
In September 2017, John Deere acquired Blue River Technology for $305 million.
According to the Blue River Technology sources, precision technology will get rid of 80% of chemicals that usually sprayed on crops, by which we can decrease herbicide costs by 90%.
Learning models are developed to trail & forecast various environmental effects on crop yield like weather changes.
aWhere is a company that uses ML (Machine Learning) algorithms in association with the satellites to investigate crop sustainability, predict the weather, and assess farms to know about the existence of pests & diseases.
There are different types of clients for the website, such as farmers, researchers, and crop consultants. The company is very good at delivering high standard data or information that is perpetually updated at a quick rate. If you do not agree with my statement then watch below video:
And the company is very much confident about the data it provides for its customers with admittance to more than one billion stacks of agronomic data regularly. The data sources such as precipitation, wind speed, solar radiation, and temperature, along through comparisons to the historical values on the agricultural earth.
If you are looking out for examples of the software applications, you can view them in the blog. However, it will not give a clear understanding of how much investors have invested in the services & how those reserves are impacted their outcomes.
FarmShots is a Raleigh, North Carolina based AI startup that focuses on analyzing agricultural information derived from the pictures taken by the drones and satellites. The primary focus of the company is to detect pests, diseases, and reduced plant nutrition on farms.
In April 2017, the firm limited the free access of its products for John Deere’s customers via June 2017. With this collaboration, it is very much clear that John Deere is showing more interest in entering into agricultural tech freedom.
As we are rapidly making changes according to the development of technology. In the same manner, the agricultural sector is using the latest technologies like AI to enhance competence and to deal with challenges facing by the sector, including soil health, herbicide resistance, and crop yield.
Agricultural robots are perched to become the most-valued apps of AI for agriculture. Currently, more than thousands of milking robots are operating in dairy farms. This segment expected to increase to $8 from $1.9 billion by the end of 2023. It is practicable that the robots will be built to fully increasingly diverse tasks in the next coming 3 to 5 years.
Crop & soil monitoring technologies are also crucial as climate alter to be researched &investiaged.
The amount of information captured by the drones & satellites regularly will give an agricultural business a new facility to forecast changes and identify opportunities. We also estimate that satellite MVA (Machine vision applications) will become more & more commonplace for large enterprises in the coming up of 5-10 years.
So, it’s better if farmers are equipped with the training about the latest advancements and make sure that they use those technologies to improve continuously. It will be useful in enhancing the importance of the tools over the long haul.
As the various environmental factors impacting agriculture, it is good to have extensive testing & validation of emerging of AI applications because, in this industry, we can not easily predict the risk.
We hope that the agricultural sector will continue to see the stable implementation of AI & it will continually change according to the recent trends of AI.
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