Determination of Demonstrating Problematic Growth of Plants with Use Unmanned Air Vehicle (UAVs)

Öz

Environment-oriented approaches that emerged as the need for agricultural production have increased the use of unmanned aerial vehicles (UAVs) for these purposes. Firstly, unmanned Aerial Vehicles were used as a good tool for providing the necessary data for agricultural management. Afterward, it was used for agricultural activities along with other technological products. In this study, there was an example of the use of agricultural drones and multispectral sensors to provide data for agricultural production. For this purpose, an approach was set up to determine the health status of plants using images obtained from drones and sensors. The research was carried out in the Education, Research and Application Farm of Agriculture Faculty, ISUBÜ. The farm included different land used/canopy cover types. In the process, the high spatial accuracy (RMSE <0.30 m) images were taken from the plants for the test plots. NDVI and TGI index were made in these images to distinguish. As a result of the study, it was determined that healthy plants were distinguished with great accuracy. It was concluded that areas requiring urgent intervention could be identified at the beginning of the land. It was found that the study has the potential to be developed as a method of providing data in production systems require for Good Agricultural Practices (GAP), Smart Agriculture and Agriculture 4.0.

Anahtar Kelimeler

• UAVs,Sustainable Agriculture,Agriculture Drone,Sensor,VI,NDVI,TGI

Sorunlu Gelişim Gösteren Bitkilerin İnsansız Hava Araçları (İHA) ile Belirlenmesi

Öz

Günümüzde tarımsal üretimin ihtiyacı olarak ortaya çıkan çevre odaklı yaklaşımlar İnsansız Hava Araçlarının (İHA) bu amaçlara yönelik kullanımını hızla artırmıştır. İnsansız Hava Araçları öncelikle tarımsal üretim için gerekli verilerin sağlanmasında iyi bir araç olmuştur. Ardından diğer teknolojik ürünler ile birlikte bazı tarımsal üretim faaliyetlerinde doğrudan kullanım alanı bulmuştur. Bu çalışmada, tarımsal üretime veri sağlamada tarım dronu ve multispektral algılama kameralarının kullanımına ait bir örnek yeralmaktadır. Bu amaçla dron ve kameralar ile elde edilen görüntülerden bitkilerin sağlık durumlarının belirlenmesine yönelik uygulama yapılmıştır. Farklı bitki desenlerinin yer aldığı ISUBÜ Ziraat Fakültesi, Eğitim, Araştırma ve Uygulama Çiftliğinde yürütülen çalışmada seçilen test alanı için yüksek mekânsal doğrulukta (RMSE<0.30 m) görüntülerin üretimi mümkün olmuştur. Bu görüntülerde yapılan NDVI ve TGI ayrımları ile sağlıklı bitkilerin büyük doğrulukla ayırt edildiği ve acil müdahale gerektiren alanların arazi başında belirlenebildiği sonucuna varılmıştır. Çalışmanın, İyi Tarım Uygulamaları, Akıllı Tarım ve Tarım 4.0 uygulamalarında veri sağlama yöntemi olarak kullanılma ve geliştirilme potansiyeli olduğu sonucuna varılmıştır.

Anahtar Kelimeler

• İHA,Sürdürülebilir Tarım,Tarımsal Dron,Sensör,VI,NDVI,TGI

Kaynakça

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