TAGEM

TAGEM

PROVEA Precision Agriculture Decision Support System developed by our company in the context of Grape and Olive products was presented in 2018 as TAGEM project with the participation of Izmir Olive Research Institute and Manisa Vineyard Research Institute. The project called Image Processing and Machine Learning Techniques and the Determination of Yield and Damage in Grape and Olives was accepted by the board.

Within the scope of the Project by using machine learning and image processing techniques, it is aimed to determine yield and damage / disease determination in terms of grape and olive products with the help of remote sensing technologies. During the project, the photographs taken from the vineyards and olive orchards are used with the help of UAVs. Studies are being carried out to realize yield estimation with image processing and machine learning techniques. In addition, the existing damage and disease detection studies in grape and olive fields are carried out. The machine learning techniques and classification algorithms developed as a result of the study. It will enable the establishment of a new precision agricultural technology which will be used for the first time in our country’s agricultural sector.

In order to be able to carry out the tests and analyzes of this developed technology, studies are carried out with Manisa Vineyard Research Institute in 35 different vineyards, and with Izmir Olive Research Institute in 23 different Olive Gardens. The first phenological stage measurements on the land were completed. During this measurement period, the researchers who are experts in the field of ground surveys from the Manisa Viticulture Research Institute and the Izmir Olive Research Institute perform ground measurements. Leaf and soil analyzes are performed and interpreted in trial vineyards and olive groves.

The data obtained by using local measurements and remote sensing technology are interpreted by means of machine learning and statistical methods. The studies are performed to estimate the yield and damage / disease detection. The findings of the first phase of the measurements are analyzed and reported. The studies for the software infrastructure which is developed in the second phase of the study are ongoing.

PROJECT TEAM

EXECUTIVE INSTITUTION (AVEO)

Dr. Ayşe Ayşen KARAKAŞ

Project Coordinator

Osman Selami BUDAK

Researcher

Nuri Eray ŞAHİN

Researcher

Doğan ÜNAL

Researcher

Alp Aslan KIRKPINAR

Assistant researcher

MANİSA VITICITY RESEARCH INSTITUTE (PROJECT PARTNER ORGANIZATION) EXPERTS

Nurdan GÜNGÖR SAVAŞ

Assistant researcher

Turcan TEKER

Assistant researcher

R. Oğuzhan SOLTEKİN

Assistant researcher

Özen MERKEN

Assistant researcher

Mustafa Sacit İNAN

Assistant researcher

Murat YILDIZ

Assistant researcher

Fulya KUŞTUTAN

Assistant researcher

Dr. Fadime ATEŞ

Assistant researcher

Esra ALBAZ

Assistant researcher

Dr. Serkan ÖNDER

Assistant researcher

İZMİR OLIVER RESEARCH INSTITUTE (PROJECT PARTNER) EXPERTS

Dr. Aişe DELİBORAN

Assistant researcher

Sedef ÖZDEN

Assistant researcher

İdris ÇILGIN

Assistant researcher

Serkan KAPTAN

Assistant researcher

Dr. Latife ERTEN

Assistant researcher

Hande Uçar ÖZKAN

Assistant researcher

Dr. Ayça AKÇA UÇKUN

Assistant researcher

Murat AYATA

Assistant researcher

Ayşen YILDIRIM

Assistant researcher

Dr. Meltem Ayaz

Assistant researcher

Berna Yıldırım

Assistant researcher