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Software to extract crop rows and gaps detection

Desktop application to automatically extract planting gaps (failures) in sugarcane fields during the initial growth stages of crop using UAV images (RGB). The application must extract and export the crop rows and the lines with the gaps. In areas with planting gaps, the lines need to be connected. In images, the crop rows can be curved or straight.


Application must run under license validity check (online).

Minimum OS version: Windows 7.



• Image

• Image date

• Agricultural Parcels with ID

• Harvest year

• two logos for layout

Image processing:

• Select image path

• Fill parameters form to start processing

• Run process with a progress bar


• Browse to save the extracted crop rows (as shapefile)

• Browse to save the shapefile with the lines gaps

Minimum overall accuracy expected:

• 90% in the detection of gaps calculated from the provided images


• There must be generated a report with:

◦ Visualization of the original image, the planting lines and the gap marks.

◦ Charts and tables with percentage of gaps classified by size and description of the agricultural parcel analyzed

◦ Chart with the space between the parallel lines

◦ The report should follow the model available in the document "report [login to view URL]"

• The report must be exported to PDF


• The desktop application will be delivered in English, with the possibility of translating to other languages (support to Internalization via config files)

• Usually, the images have about 3 cm of spatial resolution (pixel size). It can be resampled to 10 cm to improve processing time.

• The information presented in the sample layout is for impersonation only. This information can be arranged responsively according to the size of the agricultural parcels.

• The images that will be processed are very large (GeoTiff format).

Keahlian: Geographical Information System (GIS), Machine Learning (ML), Neural Networks, Pengembangan Perangkat Lunak

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Tentang Pemberi kerja:
( 0 ulasan ) Piracicaba, Brazil

ID Proyek: #18507468

Diberikan kepada:


Hello, thank you for the detailed requirements and the clear samples. In general it is clear, I have one question please, what is the meaning of red points in the "Sample [login to view URL]"? Regarding my experience I have mo Lebih banyak

$2500 USD dalam 35 hari
(34 Ulasan)

65 freelancer menawar dengan rata-rata $2409 untuk pekerjaan ini


Hi, I can develop the desktop version for extracting and finding gaps in planting for sugar cane fields. For several years, I have worked with complex ML/AI projects with machine learning algorithms such as neural Lebih banyak

$6000 USD dalam 60 hari
(6 Ulasan)

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$2500 USD dalam 30 hari
(64 Ulasan)

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$1500 USD dalam 5 hari
(55 Ulasan)

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$2500 USD dalam 30 hari
(15 Ulasan)

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$1500 USD dalam 5 hari
(31 Ulasan)

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$2500 USD dalam 30 hari
(16 Ulasan)

I. Image Restoration-Radiometric and geometric calculations and calibration of the images is done II. Image Enhancement- This is where Basically image sharpening and filtering of the restored UAV images are done III. Lebih banyak

$2500 USD dalam 15 hari
(1 Ulasan)

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$2500 USD dalam 30 hari
(15 Ulasan)

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$2500 USD dalam 30 hari
(9 Ulasan)

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$1600 USD dalam 14 hari
(7 Ulasan)

Hello, Sir I saw your Project Description and your example images. I think that you need the window application. I hope that you explain me about "Charts and tables with percentage of gaps classified by size and d Lebih banyak

$2500 USD dalam 40 hari
(3 Ulasan)

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$3000 USD dalam 60 hari
(5 Ulasan)

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(3 Ulasan)

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(2 Ulasan)