The Future of Agriculture Technology: Agriculture 4.0

Technology is changing the world, and it is catching up with agriculture. The introduction of everything from automated farm machinery to a broad range of Internet of Things (IoT) sensors measuring soil humidity and crop tracking drones has changed farming business. Some specialists even call this "Agriculture 4.0" movement, a term used by the World Government Summit.

Some would claim that the "fourth agrarian revolution" or "farming 4.0" has already started. At the time, each earlier agricultural revolution was radical, the first representing a transition from hunting and gathering to settled farming, the second related to the British agricultural revolution of the 18th century, and the third related to post-war productivity increases associated with mechanization and the Green Revolution in the developing world. Thus, while technological innovation is not new to agriculture, emerging technologies, such as the Internet of Things, cloud computing, robotics, and artificial intelligence (AI), have the ability to alter agriculture beyond recognition, hence the shift to agriculture 4.0.


For these techniques, there is definitely no shortage of uses;
intelligent farming methods are used to improve fertilizer, pesticide, and herbicide application accuracy. Smart farming methods, including the use of the Cortana Intelligence Suite from Microsoft, are presently being used to determine optimal planting dates for plants around the globe, for example in India and Colombia. Using unmanned aerial vehicles or drones to help identify weeds, robots help farmers to milk their cattle and remove weeds.

A digital farm is more effective and more sustainable than its previous counterparts. On an intelligent, digital farm, plants are likely to be grown using precision farming, tractors could be self-driving, the could be determined by field digital imaging, and the farmer typically works with an agronomist to provide technical expertise.


Technology plays a major role, as in many other vertical economies. If you believe about these techniques, if you measure any observable feature of a plant, we call them phonemics, how do you do that? You do it with all kinds of sensors. You do it with everything from handheld devices that measure the color in a plant to UAVs that fly over and take LIDAR (Light Detection and Ranging, a remote sensing technique used to examine the Earth's surface) and hyperspectral pictures because the data is provided by those color spectrums.

Our task is to comprehend what each input, whether it is water, fertilization, soil types, etc., whatever input there is, we need to know what its effect on the plant is, both in terms of dietary value, because we need to raise the dietary value of the same quantity of biomass as we do now if we are going to feed the earth.

Like our consumer industry, we're talking about big data, linked to everything. Our refrigerators, light bulbs, etc. are all connected today, and the same applies to farm equipment and even the plants themselves will one day be connected in some way in terms of embedded sensors or telling their story through imagery or any of the thousand different phonemic observations. That's all we're attempting to do, and that's where the technology plays a lot of roles.


While it's simple math, some farmers still have a hard time adopting new technology. You have to bring out the technology and demonstrate it to them and you're going to get pushback a lot of times because it's distinct from the manner they've always accomplished it. Grid sampling was one of the techniques that most farmers now use, which was kind of overseas 15-20 years ago. Soil sampling on a grid instead of going out and taking a hundred-acre field sample, which is what fertilizer you should bring down. Now they're going to take a GPS and placed a map on the ground and pull from individual points. So, on a  hundred-acre field, you'll have about 30 to 40 samples. Now farmers are plugging that info into software that provides them with information on how much fertilizer a specific field needs.


We do not dispute that intelligent farming techniques can play an significant part in sustainable agricultural manufacturing, although if there were societal changes elsewhere, the need for a technical revolution would be decreased. As less land is placed into manufacturing, the potential for enhanced productivity is likely to provide social benefits (e.g., higher food / income security) and environmental advantages.

In conjunction with more productive crop varieties / livestock and the use of decision support systems to promote evidence-based decision-making, precision agriculture can lead to better use of inputs with higher benefits. In addition, robotic technology could provide farming communities with advantages in compensation for lost labor, which is becoming a severe issue in the developing world as the population migrates to metropolitan centres. Technology-based SI (Sustainable\Intensification) could improve social sustainability by promoting farming businesses ' profitability and offering various high-tech employment.

The dominant techno-centric narratives connected with intelligent farming should be handled with caution, despite the potential advantages of a fresh technology revolution. Technology is a double-edged sword because it has the ability and benefits to cause damage. We have experienced several disputes in agriculture over the use of chemicals, including DDT and the continuing problem of neonicotinoids, as well as intense discussions about genetic modification. We have seen, for example, how previous technology revolutions have caused mass rural unemployment. The potential side-effects of smart technology like AI are being seriously considered now in the policy.

The addition of technology has accelerated production agriculture in the last few years. We're kind of entering a new phase where a lot of the technology is going into the genetics of the plants. What can we do to improve crops genetically? And in order to do that we're also utilizing a lot of other technology like GPS to record yields in fields, or where we make treatments to improve a crop. And then on the research side of that, we're using that technology to help us identify plants that have value to the plant breeders so that we can develop useful traits in plants more quickly.



Suppose some farmer in his breeding program has 10,000 plants in the field, he might have a lot of individuals out there taking notes every day or once a week, but if he uses tools to assist him define how crops grow and survive and how healthy they are, he can use a recording device to do that. How that device goes through the field doesn't matter. In other words, a student may have a selfie stick with a recording device at the end of a selfie stick, walking across each individual plant, or he may have a device flying over areas such as a drone or an unmanned aerial vehicle. He might have recording equipment that go up and over the plants on a wheeled device. On a Cessna or a satellite, he might have tools. There are many ways in which he can collect the information.


Suppose some farmer in his breeding program has 10,000 plants in the field, he might have a lot of individuals out there taking notes every day or once a week, but if he uses tools to assist him define how crops grow and survive and how healthy they are, he can use a recording device to do that. How that device goes through the field doesn't matter. In other words, a student may have a selfie stick with a recording device at the end of a selfie stick, walking across each individual plant, or he may have a device flying over areas such as a drone or an unmanned aerial vehicle. He might have recording equipment that go up and over the plants on a wheeled device. On a Cessna or a satellite, he might have tools. There are many ways in which he can collect the information.

Agriculture 4.0, with science and technology at its core, the coming agricultural revolution must be a green one. Agriculture 4.0 will need to look at the demand side and the food-scarcity equation value chain /supply side, using technology not just for innovation, but to enhance and address true consumer requirements and re-engineer the value chain. Modern farms and agricultural activities will operate differently, mainly as a result of technological advances, including sensors, computers, machines, and IT. To list a few, future agriculture will use advanced techniques such as robots, temperature and humidity sensors, and aerial pictures and GPS technology. These developments will make company more profitable, more effective, more secure and more environmentally friendly.

Agriculture 4.0 will no longer have to rely on water, fertilizers and pesticides to be applied across whole areas, but farmers willuse the minimum amounts or even remove them from the supply chain entirely. They will be able to grow plants in arid regions and use abundant and clean resources for growing food, such as sun and seawater. The excellent news is that these advances in digital and technology take over the sector, and hence over the whole food value chain. According to Agfunder, start-ups in agricultural technology have risen more than 80% per year since 2012. Agritech start-ups are booming, with the industry displaying a voracious appetite for entrepreneurs and investors.



First, is the need to develop a more comprehensive and systemic approach to reasonable innovation for the fourth agricultural revolution. This should focus primarily on feasible instruments and actions to improve responsible development at the "R&D projects" stage and discrete technological developments in intelligent dairy and intelligent farming. This represents in part the framework of proven accountable development frameworks that, for excellent reason, have been attracted to concentrate attention on contentious emerging technologies where important adverse effects and responsibilities might be expected to occur. However, it is suggested that the frame of reasonable development should also be expanded. 


First, is the need to develop a more comprehensive and systemic approach to reasonable innovation for the fourth agricultural revolution. This should focus primarily on feasible instruments and actions to improve responsible development at the "R&D projects" stage and discrete technological developments in intelligent dairy and intelligent farming. This represents in part the framework of proven accountable development frameworks that, for excellent reason, have been attracted to concentrate attention on contentious emerging technologies where important adverse effects and responsibilities might be expected to occur. However, it is suggested that the frame of reasonable development should also be expanded. 

The fourth agricultural revolution is connected with many developments in sustainable agriculture, some emerging and some more established, interacting and co-evolving in a broader "innovation ecology;" or in "industrial innovation schemes" where many distinct actors (e.g. farmers, consultants) are influential. Such an innovation ecology involves "large" emerging smart technologies (e.g., AI, Internet of Things, cloud computing, robotics), as well as "smaller" farmers and/or community-led innovations to more mundane or low-tech sustainable farming alternatives.

In the hurry to adopt intelligent agri-tech, we risk forgetting the wider network of other technologies that play a significant part, but can also impact societies in various respects.Second, there is a need to broaden concepts of "integration" in reasonable development to address the various ways in which societal actors are already engaging on their own terms with intelligent farming technologies. This is a specific blind spot in reasonable development frameworks and a significant omission in the "inclusion" suggestions that have been put forward in relation to intelligent farming so far.

Agricultural research continues to be dominated by top-down, non-inclusive methods, and at an early point it rarely involves appropriate stakeholders like farmers. Responsible innovation promotes us to think about what technology is for, who it serves, and who drives the process. Inclusion has sometimes been considered problematic by innovators, who see government participation as possibly enhancing market time and publicly releasing sensitive data. But study has also shown that it can be complementary to open innovation and sensible innovation. Third, study requires evaluating whether reasonable frameworks for innovation make a difference in practice. This is a point madein the genetic modification framework. It claims that reasonable frameworks for innovation must "prove their capacity to shape current technological trajectories.

We should ask in the context of the fourth worldwide agri-tech revolution what the direction of travel is and whether we want to goas a community there. All these fresh techniques are altering stakeholders ' way of thinking and especially the government is thinking of the agricultural industry that gives hope to solve the issue of hunger and food scarcity. Government's role is one that cannot be overestimated. Reading it believes that, given the increasing risk of climate change, natural resources, shortagesand demographic pressure, it will increasingly be necessary to step up to the plate and promote techniques that make up agriculture 4.0.

Source: AgriMech