GÖRSENTAM

Suite of agricultural technology

Description

GÖRSENTAM offers a suite of precision agriculture technologies combining hardware, IoT infrastructure, and AI-driven analytics to support data-based farm management through an app, where it delivers field-specific early warnings, alerts and recommendations for pest and disease control and fertilization.

Technology

  • Artificial intelligence (AI)
  • Desktop/web-based application
  • Internet of things (IoT)
  • Mobile app
  • Sensor

GÖRSENTAM is built on a network of agricultural meteorology stations (G-STATION), advanced agricultural forecast stations (G-AGRISTATION) and digital pheromone traps (G-TRAP) that collect atmospheric temperature, humidity, wind, rainfall, leaf wetness and image data from the field through integrated sensors and IoT modules. Station and trap datas are processed in a central platform using big data and artificial intelligence algorithms, including deep learning image analysis to diagnose and count pests on trap surfaces and disease and pest risk models. Through web dashboards and mobile application users can visualize climate series, phenology-based fertilization recommendations, disease infection risk levels, pest population graphs, spraying windows and field visit plans.

Target

  • Farm advisors
  • Large size farms
  • Medium size farms
  • Smallholder farmers
  • Private sector

GÖRSENTAM serves agricultural enterprises, agricultural consultants, and farm advisors, as well as smallholder and medium-scale farmers in fruit and olive production areas in provinces such as Balıkesir, İzmir and Bursa.

Business model

  • Fee for service
  • One time purchase
  • Subscription

GÖRSENTAM is operated by a private agritech company and commercialized as an integrated hardware plus software offering, complemented by optional modules and professional services such as consultancy. Access is provided on a commercial basis with pricing and packages offered via a tailored quotation.

Impact

GÖRSENTAM aims to reduce routine field inspections by allowing producers and advisors to monitor microclimate, disease risk and pest populations remotely and receive field-specific warnings and recommendations, improving the timing of plant protection and fertilization while lowering input costs. In orchards, reported results include an olive producer in Mudanya, Bursa increasing yield from 17 kilograms to 30 kilograms.

Partners

İzmir Provincial Directorate of Agriculture and Forestry; Republic of Türkiye Ministry of Agriculture and Forestry

Four Betters

  • Better production
  • Better environment
  • Better life

Sustainable Development Goals

  • SDG 9: Industry, innovation, and infrastructure
  • SDG 12: Responsible consumption and production
  • SDG 13: Climate action
For detailed description of each attribute and parameter, check the AgriTech Observatory Taxonomy >

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Digital Public Good Alliance 标志

AgriTech Observatory 被 Digital Public Good Alliance 认定为数字公共产品