The agricultural sector is undergoing a technological revolution. Various technological advancements and techniques have rapidly changed how the various processes are done in the different sectors. The impact of artificial intelligence is ubiquitous and we cannot deny the fact how it has revolutionized various sectors. The agricultural sector is one of the most important as well as challenging sector.
The tremendous rise in population and climatic changes has put a lot of pressure on the agricultural resources. The highly unpredictable nature of agricultural industry forces farmers to play safe. The agricultural sector is largely dependent on the technology to perform various operations. Artificial intelligence and machine learning applications have helped the agricultural industry right from seeding and planting to harvesting the crops.
Farmers now want to apply the latest technology in their operations and gain its benefit to fullest. Data science as a service has enabled the farmers to look forward ahead of time and make future predictions. Weather predictions, soil nutrients analysis, and crop disease detection have put farmers in a better position than before. Also, automation in various agricultural processes has speeded the processes to many times. Manual work is minimized and machines have taken over the human labour and efficiency in the work has improved.
Now, let us discuss what is the impact of bringing artificial intelligence to the agricultural sector:
Artificial intelligence applications have helped the farmers to eliminate the dull and boring tasks. We all know that almost all of the jobs in agriculture are dull, dirty, boring and dangerous and involves sharp and heavy tools. Artificial intelligence machines have helped the farmers to eliminate repetitive and cumbersome tasks. Also, the productivity of the machines is far better than the humans. Machine learning algorithms can free up the human labour and they can be given more challenging and productive task to handle.
Technology has penetrated deep into the agriculture. Technological advancements have led to eliminating inefficiencies in the agriculture. Data science services have made the agricultural operations more focused and efficient. The demand for skilled technicians has increased in the agricultural sector as an agricultural sector in becoming more and more technology oriented. Artificial intelligence technology has helped in making machines that can outperform humans in many ways. But this does not mean that jobs of humans are at stake. Humans and machines need to work hand in hand to maximize the output. Artificial intelligence technology has helped the farmers to earn 25 percent more.
There are several industries that are connected with the agricultural industries. Artificial intelligence and ccchas helped in improving the working of various industries. Controlled farming of old products as well as new products has become possible due to artificial intelligence research. With the growth in these industries, new jobs are being created. Small farmers are also benefitted with the growing use of artificial intelligence in agriculture. Many of the jobs in various industries require the services of farmers. So, farmers that do not have their own land or have minimal land can get jobs in the agricultural related industries.
The irrigation system is an integral part of agriculture. Water management is a very tedious task in agriculture. Automated irrigation systems have helped the farmers to handle the irrigation related tasks effectively. Artificial intelligence and computer vision technologies can detect the areas that are having the scarcity of water. Automated water supply systems can send the water supply to these areas. Artificial intelligence applications can also predict the weather conditions that are helping the farmers to get a better insight of climate. AI systems are capable of maintaining the appropriate moisture level of the soil. Automated irrigation systems will help in better water management and also the production level of the soil increases.
The conventional methods of crop disease monitoring are less efficient and time-consuming. Machine learning algorithms and computer vision have helped the farmers to detect the diseases in the crops at an early stage. The hyperspectral imaging and laser scanning have led to detect the diseases in the plants in a better way. Data mining techniques have made the farmers to understand the pattern of disease in the field or in any area of the plot. If appropriate steps are taken in time, the effect of damage caused by the disease can be eliminated.
Artificial intelligence can do wonders for the agricultural sector if used to its full potential. Artificial intelligence services have eliminated the guesswork in the agriculture to a great extent. Farmers are now in a position to make better decisions with the help of data science and analytics. AI and machine learning have helped in eliminating the dull and repetitive jobs in the agricultural sector. Let us wait and watch what more artificial intelligence and machine learning has in future for the agricultural industry.