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AgriBot: a mobile application for imaging farm fields

Imaging of the farm fields

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Abstract

The issue of food security is one of the serious challenges. Precision agriculture, including imaging and analyzing the captured images is used to increase productivity. In this paper a software for smartphones is proposed for imaging the agricultural fields. In app, the imaging process is facilitated using all the available capabilities of the smartphone. By app, the farmer first determines the boundary of the field just by walking around it. The app provides pattern of imaging points. The farmer captures images of the land. Then, panoramic image of whole field is rendered using planar stitching algorithm. Based on the experiments performed in accordance with the technical specifications of the used smartphone, it was determined that the app has the ability to capture images with 0.09 centimeter spatial resolution. By comparing the features of the imaging method provided by the app with other imaging methods, it is clear that the proposed app provides images with much better spatial resolution and time-controlled resolution or revisiting rate by the farmer at a much lower cost. By analyzing the images obtained from this app, using a variety of classification, detection, recognition, etc. algorithms based on tools such as deep learning, knowledge such as the pattern of distribution of various weeds, pests and diseases on the field is obtained. By this knowledge, the farmer can make timely and effective decisions. This app provides a valuable source of information for a wide range of smallholders to benefit from new technologies to ensure food security.

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  1. Computer Engineering Faculty, Shahid Rajaei Teacher Training University, Tehran, Iran

    Ehsan Pazouki

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Pazouki, E. AgriBot: a mobile application for imaging farm fields. Multimed Tools Appl 81, 28917–28954 (2022). https://doi.org/10.1007/s11042-022-12777-4

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