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The emerging trends in precision agriculture bring innovative solutions to the agriculture sector to improve productivity, sustainability, and efficiency.
Technological advancements in agriculture enable farmers to meet the ever-increasing demand through low-cost and efficient ways. Precision agriculture is a farming management method based on measuring, responding to, and observing the variability of crops, livestock, and fields. The application of precision agriculture trends helps farmers to collect real-time data on crop fields and increase product quality, among other things. Satellite Technology Variability and quality of data are the primary challenges preventing the further implementation of sustainable agriculture practices. Satellite technology in agriculture helps farmers analyse large areas of their farms in a short period and in real time. Moreover, it enables farmers to react quickly to localised issues such as fertilisation and irrigation. Technologies such as GIS and GPS further facilitate farmers' efforts to determine the topography, heterogeneity, and yield estimation of crops and livestock. Internet of Things (IoT) Data collection is becoming a vital part of the agricultural process. Farmers turn to IoT solutions to decide the type of pesticides and fertilisers should be used for optimal efficiency, monitoring weather conditions, taking control of production processes, and lowering production risks. The use of IoT sensors helps farmers optimise every aspect of their work, including crop farming and tracking cattle. Furthermore, the real-time monitoring of the field data enables farmers to make the best decisions on upcoming production while reducing their environmental impact. Artificial Intelligence (AI) AI improves the data collected from different sensors to facilitate precision agriculture and enhance harvest quality and accuracy. Moreover, AI makes various other aspects of AGtech operations smarter. For example, water management and energy consumption are optimised with AI, leading to more accurate decisions taken by farmers. Machine and deep learning techniques are becoming an integral part of agriculture and are used in soil and crop monitoring and agricultural robotics, among others. Variable Rate Technology (VRT) One of the most reliable methods of accelerating productivity is the application of variable rate technology in precision agriculture. VRT facilitated the application of water, nutrients, and other factors of production at varying rates across a field. This reduces the need to make multiple runs across an area or constantly change rate settings on machinery. In addition, VRT alleviates the time-consuming agricultural tasks that are done manually while also reducing the chance of human error. Thus, VRT helps farmers boost productivity, increase precision, and improve risk management. Examples of VRT include fertigation systems, precision pest management, and variable rate application. The new trends in precision agriculture bring innovative solutions to the agriculture sector to improve productivity, sustainability, and efficiency. The development of satellite and 3D mapping solutions transforms agriculture by making farmers react as immediately as possible to negative changes in farms and cattle. On the other hand, environmental protection is a priority for them, and they use emission reduction solutions for limiting carbon emissions into the atmosphere and improving soil quality.
