A digital revolution is happening in the agriculture industry. Computers are now utilised in every aspect of agriculture, from robotics and sensors to decision-making systems, through the use of cyber-physical systems technologies. The agri-food industry has enormous potential for radical improvement in terms of intelligence, efficiency, sustainability, and performance by utilising integrated decision-support systems in conjunction with cutting-edge internet networks and services. The digital agri-food approach, which promotes and expedites agriculture in terms of sustainability, land management, quality of life, and competitiveness, makes this potential especially pertinent.
Drones and sensors, for instance, are examples of devices that can be integrated with Internet of Things (IoT) technologies to collect and gather data. These gadgets can interact with software for decision support to share information with agricultural stakeholders and help with field management.
Advanced Food Processing Technologies in Agriculture
We’ll look at technologies that affect how farmers handle, store, transport, and grow their crops.
Technologies for Bee Vectoring
The value of honey bees to the United States’ crop production industry is $20 billion. Because bees are vital to human survival, agricultural equipment is becoming more innovative in order to safeguard bees and optimize their pollination potential. So, by using commercially raised bees to provide targeted crop controls through pollination, BVT substitutes an environmentally safe crop protection method for chemical pesticides.
Tractor use or water spraying are not necessary with this system. Rather, the bumblebee hive, which is scientifically designed, enables bees to carry a small amount of pesticide powders on their legs, which they can disperse throughout the field. This technological advancement in agriculture promotes increased crop yield, soil quality, and sustainable farming practices. In addition to working for farms of all sizes, BVT’s solution is appropriate for a wide range of crops, such as blueberries, tomatoes, apples, and sunflowers.
Precision Farming
Precision farming is a process of handling agricultural resources that gathers, analyses, and synthesises data to provide farmers with understanding and recommendations for enhancing soil productivity and quality.
Additionally, Data from precision agriculture is used in management decisions to enhance farmland and farm produce in a number of important areas, such as: Efficiency in resource, utilisation, Durability, Turnover and Quality of Productivity. This technological advancement in agriculture leverages big data to support management choices, giving farmers the ability to optimise yield by managing crop yield factors like soil quality, moisture content, and microclimates. You can consider Eicher 242 for effectiveness and efficiency.
Technology of Minichromosomes
In order to sustain our current standard of living, farmers must increase crop production by at least 23%, given the growing global population and rising food demand. One major issue is that pests can destroy entire crops, which is a problem that gets worse as the world’s population rises.
As a new agricultural technology, genetically modified (GM) foods have come under fire recently because of studies that link them to allergic reactions and the presence of dangerous toxins that could be dangerous to human health. The potential for GM food production to destroy natural biodiversity and leak pollutants into the soil is another worry.
Controlled environment agriculture (CEA)
Plants can grown using the controlled environment agriculture (CEA) technique in a meticulously regulated setting. Other names for it include “indoor farming” and “vertical farming.” In this kind of cultivation, hydroponics, aquaponics, and aeroponics used to artificially supply the plant with all of its requirements, including water, nutrients, and light.
It has demonstrated that CEA can handle a number of issues related to conventional farming. For example, depending on the setup, it drastically lowers water consumption. Comparatively speaking, some vertical farms require 70% to 95% less water than traditional outdoor farming practices.
IoT-based real-time monitoring:
Real-time monitoring and control of agricultural and food processing activities will made possible by dependable and effective IoT infrastructures, also guaranteeing the best possible conditions for food safety, quality, and resource efficiency.
Improvements in computer vision:
With a variety of applications that can improve the calibre of operations and products, CV is a crucial component of deep tech. It can guarantee accurate crop or food monitoring and offer information on quality and health.
Robotics and automation:
As robotics advances, more autonomous machines will take over dangerous or labor-intensive tasks, increasing productivity, lowering labour costs, and minimising human error.
Precision Agriculture’s Advantages
- Improved crop management: Precision agriculture provides farmers with a comprehensive understanding of their farms by gathering and analysing data on temperature, moisture content, nutrient levels, and soil quality.
- Among the precise and timely interventions made possible by this knowledge are the application of targeted irrigation, enhanced fertilisation, and timely pesticide application. This also means that crop productivity and health can greatly increase.
- Effectiveness of resources: By using precision agriculture methods, farmers can maximise the use of resources like water, fertiliser, and pesticides.
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