Smart Agriculture & Livestock-Greenhouse

Internet of Things (IoT), Big Data, Artificial Intelligence and digital application technologies, which have become widespread with Industry 4.0, started to show themselves in the field of agriculture. With Industry 4.0, the agricultural area has become smarter. Thus, a new era called Agriculture 4.0, also known as digital and smart agriculture era, occurred.

  • Growth monitoring
  • Phytosanitary monitoring
  • Plant recognition
  • Crop disease detection

One of the factors that spoils the standard of agricultural production is that the soil structure varies from region to region. Apart from region to region variability, no land has a homogeneous structure in itself. When a production area is examined carefully, it can be easily observed that the plants develop very well in places, they are weak in places, even drying and deaths occur in places. So, what is it that creates these differences within the same land? Of course, the reason for these differences is the physical, chemical and biological structure of the soil that can change in every decare or even every square meter.

In fact, this variability lies in the emergence of many elements of smart agriculture. Smart agriculture is a technique that provides soil and product management to increase agricultural productivity, and minimize the damage to the environment by using resources more economically. In this context, it is aimed to give up classical production and to implement an application method that handles the land with an inhomogeneous and variable approach. The main factor aimed here is to use the inputs applied in agricultural production where they are needed, when and in quantity. Smart agriculture is a modern agricultural production technology that is based on the intervention to be made to the needs that differ spatially and temporally in the area where the crop is cultivated in an agricultural enterprise, taking these location and time criteria into consideration. Smart agriculture aims to prevent waste of resources, increase the gross yield of the product and minimize the environmental pollution caused by production with the use of improved information and control systems. Intelligent farming techniques can be used in almost every period of crop production, from tillage to harvest.

Among the goals of smart agriculture is to reduce chemical costs such as fertilizer and medicine; protecting the environment by reducing these uses; providing high quantity and quality products; Ensuring a more efficient flow of information for business and breeding decisions and establishing a record order in agriculture.

Livestock Management

In agriculture It is aimed to maximize productivity with the Internet of Things. As natural resources are used at the required level, the cost is reduced. Similarly, with the smart systems on the farm, all factors required for production are analyzed and presented to the producer simultaneously. In this way, resource wastage is prevented and quality products are produced. In addition, rapid decision-making mechanisms are created with machines that communicate with each other and work synchronously. Producers are given the opportunity to manage and monitor the entire farm from a tablet or phone, and by reducing the work force, productive, fun, quality and natural production opportunities are created.

  • Visual data disclosure for disease detection and animal health monitoring
  • Video description for abnormal behavior detection
  • Monitoring the animal's movement, lying, feeding and intake rates
  • Drone image description for herd counting in the field
  • Semantic segmentation (polygons)
  • Sample segmentation
  • Bounding boxes
  • Time to heat and mating