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Like manufacturing, agriculture is undergoing a transformation known as the Third Green Revolution. After two previous major leaps, caused by novel plant breeding techniques and advances in genetics, the driving force behind changes now is data science. These changes are also accelerated by the pressing global need for food. Like a smart factory, a smart farm focuses on optimizing work processes using the latest Information and Communication Technologies, including hardware, sensors and robots, and software solutions. And they indeed can improve every facet of farming operation, with excellent results like increasing resource efficiency, e.g., water usage, higher food safety and reduced pesticides.

Most technologies, like agricultural robots, are still not affordable to small farmers or are at the prototype stage. And it might take a long time until they become mainstream, especially in developing countries.

According to Statista, the smart farming market will grow to 23.14 billion U.S. dollars by 2022. The digital overhaul will allow farmers to remain competitive and sustainable and contribute to climate change prevention.

Benefits of smart farming

  • Process automation
  • More controllable processes thanks to constant data collection and analytics.
  • More accurate yield forecasts
  • Improved distribution planning
  • Risk management
  • Enhanced product quality and quantity
  • Higher revenues

Let us have a closer look at these agricultural technologies of the future.

Internet of Things

An average farm can potentially generate millions of data points weekly through a system of sensors. The Internet of Things creates a possibility for a farmer to get meaningful insights from this data, which simplifies strategic decisions, and control processes from a smartphone.

How it works:

  1. 1. Observation

    Sensors gather data from plants, animals, soil, or the environment.

  2. 2. Analysis

    The data is processed at a cloud-based IoT platform: the system compares the values to predefined "perfect" settings - business logic - and identifies any deviations.

  3. 3. Decision

    If an abnormality of a bottleneck is detected, a human or Artificial Intelligence decides how to eliminate it.

  4. 4. End of cycle

    After the action is taken, the cycle repeats. 24/7 monitoring of livestock and crops allows prevention of issues and timely reaction before they aggravate.

Types of sensors:

  • Smart cameras - used for weeds detection and precision fertilizing
  • Location - establish a connection with GPS satellites and serve for land mapping
  • Airflow - identify soil air permeability
  • Optical - measure soil parameters, e.g., moisture
  • Electromechanical - identify soil composition and deficiencies by measuring specific ion levels
Internet of Things

Smart Greenhouses

The amount of manual labor is also drastically decreased at greenhouses, which are a vast farming trend for the years to come. Automatic climate control through IoT sensors increases productivity and prevents energy loss. Environmental parameters optimal for each crop type are stored in the cloud and maintained by the system without very little manual intervention. Automated self-regulating greenhouses with weather stations help to achieve maximum crop productivity.

Advantages of a smart greenhouse:

  • Optimum plant growing conditions with minimum energy consumption.
  • Precise irrigation and cultivation.
  • Easy infection and disease control.
  • High security and theft prevention

Agricultural Robots

Agricultural robotics is a trendy, fast-paced, and promising scientific area. Now expensive and flawed, ag-bots will become farmers' best assistants shortly. They have a wide range of applications, from mowing, thinning, seeding crops to herding, milking, and washing cattle.

Crop harvesting

Robots are perfect for replacing humans with monotonous and labor-intensive tasks. However, it is not easy for machines to achieve manual dexterity to pick some fragile fruit and vegetables. A vivid example of success is "Vegebot," designed at Cambridge University. The prototype uses computer vision to achieve accuracy so amazing that it can harvest delicate lettuce leaves. Moreover, thanks to a machine-learning algorithm, it detects if the fruit is ripe enough. The improvement still to be made is the human-like speed of work.

Agricultural Robots
Vegebot

Weeding

Weeds can be incredibly resilient and hard to eradicate. It seems mission impossible with manual work and not eco-friendly considering pesticide usage. For this purpose, Canadian company Nexus Robotics has developed a fully autonomous robot prototype, "La Chevre." With the help of cameras and neural networks, it can distinguish valuable plants at all growth stages from weeds and remove them neatly. It can operate round the clock and collect data on soil and environmental conditions in different areas for better farming decisions in the future.

Robotic farms

99% autonomous, with humans only as supervisors, robotic farms look very futuristic. Bowery Farming company uses Artificial Intelligence with other advanced technologies to achieve a hundredfold increase in efficiency compared to outdoor farming. The company developed an operating system - The BoweryOS that tends to the needs of each plant - gives a plant more light or nutrients or identifies perfect harvesting time. Thanks to machine learning, the system performs the interpretation of massive amounts of real-time data, collected by cameras and sensors, and improves its analytical performance with each cycle.

Robotic farms

Agricultural Drones

Agricultural drones or UAVs perform a variety of tasks, from spraying to crop monitoring and soil analysis. For instance, drone fertilizer spraying is up to 60 times more effective than manual. In addition, aerial drones collect thermal and visual images of fields that help farmers diagnose crop and soil health.

Regenerative agriculture: the future of farming

The global need for food is growing as well as population incomes, especially in the developed countries. Health-conscious people tend towards protein-rich plants like legumes and organic produce. At the same time, traditional farming and deforestation associated with it already have disastrous consequences for the environment. The innovative technologies empower farmers not only to survive and remain profitable but join the combat climate change. Regenerative agriculture includes techniques like cover cropping and conservation tillage that help decrease carbon emissions into the atmosphere and alleviate the climate impact. Data analytics tools facilitate the adoption of the regenerative approach and help to decarbonize the agricultural supply chain footprint. To have a future, agricultural entrepreneurs must adopt innovation and keep the planet's health in mind.

Regenerative agriculture: the future of farming

The Blackthorn Vision team has built many successful solutions for leading companies. We have expertise in data analytics, AI, and Machine Learning to build game-changing software tailored for your agricultural business. The holistic approach means you get a full spectrum of digital services from consulting to ready product maintenance and support. The easiest way to get started is the Discovery Phase that will visualize your idea within a few weeks. Let's partner up and digitize your farm operations for a productive future.

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