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Agriculture Field Area Calculation Using Drone Camera: Method and Framework Design

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Abstract

Field area calculation (FAC) is a fundamental task with significant implications across diverse sectors, including agriculture, land management, urban planning, environment conservation, land management, infrastructure development, government and regulation, etc. Accurate measurement of field areas is crucial for effective agricultural planning, resource management, and decision-making. Image-processing techniques offer a modern and efficient approach to automatically calculate field area calculation using drone imagery. FAC using satellite images has several limitations that can affect the accuracy and reliability of the results. These limitations arise from factors such as image resolution, temporal availability, with challenges, and data processing challenges. To overcome these issues, an FAC system was proposed with a drone, which captures the images using a drone and calculates the field area using image processing and Gauss’s area formula or surveyor’s formula. The results were compared against the satellite images. The proposed method flaunted enhanced performance and revealed results that align well with expectations. To assess the performance of the model, a case study has been carried out in an actual agricultural field in Belgahana Village of Bilaspur District, India.

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Data availability

The authors declare that in the manuscript the used datasets are generated by drone which consists the thirty RGB images. The images of the agricultural field Belgahana village, India have been captured using a drone Camera DJI Air 2s and are available for further research under Community Data License Agreement - (Permissive V 1.0) in Kaggle [15].

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Authors and Affiliations

  1. Department of Information Technology, Guru Ghasidas Vishwavidyalaya, Central University, Bilaspur, Chhattisgarh, India

    Ranjana Rathore, Suhel Ahamad, Aradhana Soni, Amit Kumar Dewangan & Abhishek Jain

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  1. Ranjana Rathore
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  2. Suhel Ahamad
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  3. Aradhana Soni
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  4. Amit Kumar Dewangan
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Correspondence to Aradhana Soni.

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The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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This article is part of the topical collection “Advances in Machine Vision and Augmented Intelligence” guest edited by Manish Kumar Bajpai, Ranjeet Kumar, Koushlendra Kumar Singh and George Giakos.

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Rathore, R., Ahamad, S., Soni, A. et al. Agriculture Field Area Calculation Using Drone Camera: Method and Framework Design. SN COMPUT. SCI. 5, 267 (2024). https://doi.org/10.1007/s42979-023-02577-4

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