Machine learning for Precision Agriculture: How Smart Farming can Leverage from ML?

In the coming years the Agriculture sector around the globe will see a huge transformation as ML, AI, and automation will unlock will bring game-changing opportunities on board. This article highlights how famers and technologists can harness the power of advance technology for propelling the industry forward.

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The Background

By 2050, humans will be the most dominant species on earth with 10 billion in count – U.N report. The size of the planet will remain unchanged though which means the increase in population will put a huge pressure on the resources and landmass for food requirements. And to the top of that there are issues of deforestation, global warming, depleting water resources, and soil erosion making the problem even more serious.

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Fortunately, today the technological advancements are making things easier for individuals. Intelligent robots and smart machines are bringing transformation in the agricultural field. Powered by Deep Learning, Artificial Intelligence algorithms, Data Analytics, and Machine Learning systems these tools provide an ideal solution for various agricultural solutions. They are contributing towards human lives betterment.

How Machine learning is paving way to precision agriculture? 

With the increasing strain on food supplies globally, the need for optimum crop production has grown than ever. Modern technologyequipped with ML capabilities is making it possible to meet the challenges of the industry.

  • Automatic detection of ripened crops and drought patterns

AI and ML are transforming the farms into smart farmlands which are termed as Precision agriculture. The unique combination of technologies like Big Data, AI, IoT, Machine Learning, and Cloud and their applications allow individuals to automatically detect the drought patterns and trace the ripening patterns of crops. Besides, the emergence of smart tractors makes it easier for them to weed out the sick and diseased plants.
The technology is extensively used for safety, research analysis, terrain scanning, monitoring soil hydration, spatial analysis, and identifying yield issues in agriculture. The smart drones that are equipped with ML and AI capabilities pinout the diseased plants and help in precise spraying of the pesticides on farmlands.
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They also help in adding macro and micro nutrients and checking physical properties like chemical properties, moisture, pH balance of soil, and more. The combination of precision Agriculture and AI-powered application allows individuals to identify the match case and determine about the disease which has stopped growth of the plant and match it with the diseases listed in the imagery database.
On learning about the disease in real-time, farmers can build the corrective measures at the early stages and it could eliminate the possibilities of loss. There are endless possibilities with data analytics, AI, and ML in Precision Agriculture. The data is then collected, measured, and analyzed and sent to the farmers.

Real-time solutions for agricultural issues through Chatbots 

Chatbots are AI powered virtual assistants that conduct automated interactions with the users. They are created using machine learning techniques enabling users to understand the language of the users and build personalized interaction with them.
The chatbots are equipped majorly for media, agriculture, retail, and travel. The facility not only assists the farmers but also allows them to receive answers and solutions to their queries in the real-time.
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Today, we are heading towards AI-enabled precision agriculture where the farming processes are handled by technology. The farmers have long been fighting a battle with different sorts of internal and external factors like pest problems, unpredictable weather, water shortage, etc.
The trend can now be reversed by leveraging Big Data and AI Analytics. It helps in optimizing the entire farmland while ensuring that every section of it is used efficiently.
The smart technology also scans every plant for the growth and health tracking. Any pest issues are identified at an early stage and the same is notified to the individuals. It wasn’t possible with old agriculture methods.

ML powered technologies optimize the entire farming process 

The combination of Big Data Analytics, AI and ML, and smart edge devices such as drones, GPS, and sensors are used widely in smart greenhouses, fish farming, and livestock monitoring.
The adoption of advance Blockchain technology makes the change even more revolutionary in the field of agriculture. It ensures transparency, quick processing time, and upholds superior accountability. Plus, the advancement also contributes to supply chain optimization while adding value to the farming process.

Maximized yield of crops

Seed quality and variety of selections are important for optimal performance level of the plants. The ML enabled technologies helps the crops to grow quickly and in best health. Moreover, the quantity of the produce is also depends on hybrid seed selection. The seed should meet the needs of the farmers.

AI and ML enable farmers to understand how different types of seeds react in different weather conditions and soil types. This information allows farmers to take the right decision at the right time to eliminate the possibilities of crop damage due to diseases or any other reasons.
So, AI is not just changing how digital businesses workbut farming too.

The technology also enables farmers to meet the ever-changing market trends, consumer needs, and annual outcomes. It helps farmers in maximizing the return on their harvest. Resultantly, farmers can increase their farm output by 6 to 7 times per acre and make the most of their farmland.

The Future of Agriculture will be Technology-Empowered

The AI technology has turned out to be highly advanced that now tractor machinery has also become efficient enough of weeding out the spoiled or infected plants. Moreover, satellite imagery gives pictures of different drought patterns.

There are even AI and ML-powered apps which can be used by the farmers as the diagnostic tool. These apps are created to provide complete information about plants to the farmers. Additionally, it also helps in finding the corrective measures to combat the issue.
But continuous efforts are required by agriculture experts, tech companies, and thought leaders to innovate, harness, and improve the potential of the advancing technology. Besides, it is the duty of the governments to spread the role and importance of Precision Agriculture.
The farmers should be encouraged and educated to embrace new technologies like Machine learning and Artificial Intelligence as they have tremendous potential to increase the farm yield and productivity of the farmers.


Agriculture sector has been facing a lot of difficulties such as change in temperature, absence of proper irrigation facilities, food scarcity, groundwater density, substantially, wastage, etc. Cognitive solutions such as Machine Learning can change the fate of farming. However, there is a lot to be done on research and development of agriculture on a large scale but still you can find various applications and advance tech tools in the market that can enhance the overall system.
ML enabled precision farming also enables farmers to handle the realistic issues faced by them due to autonomous solutions and decision making. ML has a huge scope in agriculture. Hence, the applications should be reliable and robust. A highly efficient ML tools can handle the changes that take place in external conditions. It also facilitates them with real-time decision making and helps in ensuring appropriate platform or framework for contextual data collection.
The high cost of cognitive solutions is another thing of concern in farming. Hence, the technology is being used to find the right solutions and ensuring that the technological tools reach the masses easily.
Want Artificial Intelligence and Machine Learning Powered smart solutions for farming or other purposes? Talk to experts at Stridely Solutionsand get started towards a better future.



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