The era of artificial ıntelligence in agriculture: ecosystemic and operational dimensions of a multilayered digital transformation

Abstract

The agricultural sector is recognized as a strategic field in terms of food production, employment, and economic contribution. However, factors such as climate change, land fragmentation, lack of knowledge, and population growth have adverse effects on the sector. Historically, productivity has been increased through technological advancements such as machinery and the Green Revolution. Currently, sustainability and precision are being enhanced through technologies including the Global Positioning System (GPS), Geographic Information Systems (GIS), the Internet of Things (IoT), Artificial Intelligence (AI), and Big Data. Artificial intelligence plays a critical role in reducing environmental impacts by improving agricultural productivity, early disease detection, and input optimization. Nevertheless, the success of digital transformation depends not only on technological infrastructure but also on social and political dimensions such as digital literacy, data security, and ethical governance. Access to and adaptation of digital technologies by small-scale farmers is considered a significant barrier. Therefore, the development of accessibility, education, inclusive policies, and ethical frameworks is necessary. Digital agriculture is defined as a holistic transformation process encompassing social, economic, and political dimensions, rather than merely a technical shift. Successful digitalization is made possible through equitable and user-centered approaches alongside technological infrastructure. Accordingly, this comprehensive review explores the opportunities presented by technological advancements and digitalization in agriculture, identifies the key challenges faced, and discusses potential solutions.

Keywords

• Artificial Intelligence
• agriculture
• digital transformation in agriculture
• sustainability

Tarımda yapay zekâ çağı: çok katmanlı dijital dönüşümün ekosistemsel ve operasyonel boyutları

Abstract

Tarım sektörü, besin üretimi, istihdam ve ekonomik katkı açısından stratejik bir alan olarak kabul edilmektedir. Ancak iklim değişikliği, arazi parçalanması, bilgi eksikliği ve nüfus artışı gibi etmenler sektör üzerinde olumsuz etkiler yaratmaktadır. Tarihsel süreçte makineler ve Yeşil Devrim gibi teknolojik gelişmelerle verimlilik artırılmıştır. Günümüzde ise küresel konum belirleme sistemi (Global Positioning System, GPS), coğrafi bilgi sistemi (Geographic Information System, GIS), nesnelerin interneti (Internet of Things, IoT), yapay zekâ (Artificial Intelligence, AI) ve büyük veri (Big Data) teknolojileri sayesinde sürdürülebilirlik ve hassasiyet artırılmaktadır. Yapay zekâ, tarımsal verimlilik, hastalık erken teşhisi ve girdi optimizasyonu yoluyla çevresel etkilerin azaltılmasında kritik bir rol üstlenmektedir. Ancak dijital dönüşümün başarısı, teknolojik altyapının yanı sıra dijital okuryazarlık, veri güvenliği ve etik yönetişim gibi sosyal ve politik boyutlara bağlıdır. Özellikle küçük ölçekli çiftçilerin dijital teknolojiye erişimi ve adaptasyonu önemli bir engel olarak görülmektedir. Bu nedenle, erişilebilirlik, eğitim, kapsayıcı politikalar ve etik çerçevelerin geliştirilmesi gerekmektedir. Dijital tarım, yalnızca teknik bir dönüşüm olmayıp sosyal, ekonomik ve politik boyutları içeren bütüncül bir değişim süreci olarak tanımlanmaktadır. Başarılı bir dijitalleşme süreci, teknolojik altyapının yanında adil ve kullanıcı merkezli yaklaşımlar ile mümkün kılınmaktadır. Bu bağlamda, tarımda teknoloji ve dijitalleşmenin sunduğu olanakları, karşılaşılan zorlukları ve çözüm önerilerini ele alan kapsamlı bir derleme çalışması gerçekleştirilmiştir.

Keywords

• Yapay zeka
• tarım
• tarımda dijital dönüşüm
• sürdürülebilirlik

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