{"id":581,"date":"2026-06-11T13:15:58","date_gmt":"2026-06-11T05:15:58","guid":{"rendered":"https:\/\/projectleon.net\/make\/blog\/agriculture-drone-ndvi-infrared-camera-crop-monitoring-farsi\/"},"modified":"2026-06-11T13:15:59","modified_gmt":"2026-06-11T05:15:59","slug":"agriculture-drone-ndvi-infrared-camera-crop-monitoring-farsi","status":"publish","type":"post","link":"https:\/\/projectleon.net\/make\/blog\/agriculture-drone-ndvi-infrared-camera-crop-monitoring-farsi\/","title":{"rendered":"\u0633\u0627\u062e\u062a \u067e\u0647\u067e\u0627\u062f \u06a9\u0634\u0627\u0648\u0631\u0632\u06cc \u0628\u0631\u0627\u06cc \u0631\u0635\u062f \u0645\u0632\u0631\u0639\u0647 \u0628\u0627 NDVI \u0648 \u062f\u0648\u0631\u0628\u06cc\u0646 \u0645\u0627\u062f\u0648\u0646 \u0642\u0631\u0645\u0632 (\u0641\u0627\u0631\u0633\u06cc)"},"content":{"rendered":"
\nNDVI \u067e\u0647\u067e\u0627\u062f \u06a9\u0634\u0627\u0648\u0631\u0632\u06cc \u0645\u0627\u062f\u0648\u0646 \u0642\u0631\u0645\u0632 ArduPilot\n<\/div>\n
\n

NDVI \u0648 \u067e\u0647\u067e\u0627\u062f \u06a9\u0634\u0627\u0648\u0631\u0632\u06cc \u0686\u06cc\u0633\u062a\u061f (\u0645\u0628\u062a\u062f\u06cc)<\/h2>\n

NDVI<\/strong> (Normalized Difference Vegetation Index) \u06cc\u06a9 \u0634\u0627\u062e\u0635 \u0631\u06cc\u0627\u0636\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0633\u0644\u0627\u0645\u062a \u06af\u06cc\u0627\u0647 \u0631\u0627 \u0627\u0632 \u062a\u0635\u0648\u06cc\u0631 \u0647\u0648\u0627\u06cc\u06cc \u0627\u0646\u062f\u0627\u0632\u0647 \u0645\u06cc\u200c\u06af\u06cc\u0631\u062f. \u06af\u06cc\u0627\u0647\u0627\u0646 \u0633\u0627\u0644\u0645 \u0646\u0648\u0631 \u0645\u0627\u062f\u0648\u0646 \u0642\u0631\u0645\u0632 \u0646\u0632\u062f\u06cc\u06a9 (NIR<\/strong>) \u0631\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0628\u0627\u0632\u062a\u0627\u0628 \u0645\u06cc\u200c\u062f\u0647\u0646\u062f \u0648 \u0646\u0648\u0631 \u0642\u0631\u0645\u0632 \u0631\u0627 \u062c\u0630\u0628 \u0645\u06cc\u200c\u06a9\u0646\u0646\u062f. \u0641\u0631\u0645\u0648\u0644: NDVI = (NIR – RED) \/ (NIR + RED). \u0645\u0642\u062f\u0627\u0631 NDVI \u0628\u06cc\u0646 -\u06f1 \u062a\u0627 +\u06f1 \u0627\u0633\u062a \u2014 \u0628\u0627\u0644\u0627\u06cc \u06f0.\u06f6 \u06af\u06cc\u0627\u0647 \u0633\u0627\u0644\u0645\u060c \u0632\u06cc\u0631 \u06f0.\u06f2 \u062e\u0627\u06a9 \u06cc\u0627 \u06af\u06cc\u0627\u0647 \u0645\u0631\u062f\u0647.<\/p>\n

\u0628\u0627 \u062a\u0628\u062f\u06cc\u0644 \u062f\u0648\u0631\u0628\u06cc\u0646 \u0627\u0631\u0632\u0627\u0646 \u0628\u0647 \u062f\u0648\u0631\u0628\u06cc\u0646 NIR (\u0628\u0631\u062f\u0627\u0634\u062a\u0646 \u0641\u06cc\u0644\u062a\u0631 IR-cut \u062f\u0627\u062e\u0644\u06cc \u0648 \u0646\u0635\u0628 \u0641\u06cc\u0644\u062a\u0631 \u0642\u0631\u0645\u0632 \u06f6\u06f5\u06f0nm)\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646 NDVI \u0631\u0627 \u0645\u062d\u0627\u0633\u0628\u0647 \u06a9\u0631\u062f. \u067e\u0647\u067e\u0627\u062f \u06cc\u06a9 Survey Mission<\/strong> (\u0645\u0633\u06cc\u0631 \u0645\u0648\u0627\u0632\u06cc \u062e\u0648\u062f\u06a9\u0627\u0631) \u067e\u0631\u0648\u0627\u0632 \u0645\u06cc\u200c\u06a9\u0646\u062f \u0648 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0647\u0645\u067e\u0648\u0634\u0627\u0646\u06cc\u200c\u062f\u0627\u0631 \u0645\u06cc\u200c\u06af\u06cc\u0631\u062f \u06a9\u0647 \u0633\u067e\u0633 \u0628\u0627 \u0646\u0631\u0645\u200c\u0627\u0641\u0632\u0627\u0631 OpenDroneMap \u0627\u062f\u063a\u0627\u0645 \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.<\/p>\n<\/div>\n

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\u0645\u062d\u0635\u0648\u0644\u06cc \u06a9\u0647 \u0645\u06cc\u200c\u0633\u0627\u0632\u06cc\u062f<\/h2>\n

\u0633\u06cc\u0633\u062a\u0645 \u067e\u0647\u067e\u0627\u062f \u06a9\u0634\u0627\u0648\u0631\u0632\u06cc \u0628\u0627 \u0646\u0642\u0634\u0647 NDVI \u0627\u0632 \u0645\u0632\u0631\u0639\u0647 \u06f1 \u0647\u06a9\u062a\u0627\u0631.<\/p>\n

    \n
  • \u0647\u0632\u06cc\u0646\u0647:<\/strong> \u062f\u0648\u0631\u0628\u06cc\u0646 NIR + \u067e\u0647\u067e\u0627\u062f \u0645\u0648\u062c\u0648\u062f<\/li>\n
  • \u067e\u0648\u0634\u0634:<\/strong> \u06f1 \u0647\u06a9\u062a\u0627\u0631 \u062f\u0631 \u06f1\u06f0 \u062f\u0642\u06cc\u0642\u0647<\/li>\n
  • \u0646\u0631\u0645\u200c\u0627\u0641\u0632\u0627\u0631:<\/strong> \u0631\u0627\u06cc\u06af\u0627\u0646 (OpenDroneMap)<\/li>\n<\/ul>\n<\/div>\n

    \n\n\n\n\nNDVI=0.2<\/text>\n\u0628\u06cc\u0645\u0627\u0631<\/text>\n\nNDVI=0.8<\/text>\n\nNDVI=0.6<\/text>\n\u0646\u0642\u0634\u0647 NDVI \u0645\u0632\u0631\u0639\u0647<\/text>\n\n\u0633\u0627\u0644\u0645 >0.6<\/text>\n\n\u0645\u062a\u0648\u0633\u0637 0.4-0.6<\/text>\n\n\u062a\u0646\u0634 <0.4<\/text>\n\u0646\u0642\u0634\u0647 NDVI \u0627\u0632 \u062a\u0635\u0627\u0648\u06cc\u0631 NIR \u067e\u0647\u067e\u0627\u062f<\/text>\n<\/svg><\/p>\n

    \u062a\u0628\u062f\u06cc\u0644 \u062f\u0648\u0631\u0628\u06cc\u0646 \u0628\u0647 NIR<\/h2>\n
    \n\/\/ \u0631\u0648\u0634 \u062a\u0628\u062f\u06cc\u0644 \u062f\u0648\u0631\u0628\u06cc\u0646 \u0627\u0631\u0632\u0627\u0646 (Raspberry Pi Camera v2):\n\/\/ \u06f1. \u0644\u0646\u0632 \u0648 \u0633\u0646\u0633\u0648\u0631 \u0631\u0627 \u0627\u0632 \u067e\u0634\u062a \u0628\u0648\u0631\u062f \u062c\u062f\u0627 \u06a9\u0646\u06cc\u062f\n\/\/ \u06f2. \u0641\u06cc\u0644\u062a\u0631 IR-cut \u06a9\u0648\u0686\u06a9 \u0631\u0648\u06cc \u0633\u0646\u0633\u0648\u0631 \u0631\u0627 \u0628\u0627 \u0622\u0631\u0627\u0645\u0634 \u0628\u0631\u062f\u0627\u0631\u06cc\u062f\n\/\/ \u06f3. \u06cc\u06a9 \u0641\u06cc\u0644\u062a\u0631 \u0642\u0631\u0645\u0632 (Rosco #19 \u06cc\u0627 Lee #182 Deep Orange) \u062c\u0644\u0648 \u0644\u0646\u0632 \u0628\u0686\u0633\u0628\u0627\u0646\u06cc\u062f\n\n\/\/ \u0627\u06cc\u0646 \u0641\u06cc\u0644\u062a\u0631:\n\/\/ - \u0646\u0648\u0631 \u0642\u0631\u0645\u0632 \u0645\u0631\u0626\u06cc (600-700nm) \u0631\u0627 \u0639\u0628\u0648\u0631 \u0645\u06cc\u200c\u062f\u0647\u062f\n\/\/ - \u0646\u0648\u0631 NIR (700-900nm) \u0631\u0627 \u0639\u0628\u0648\u0631 \u0645\u06cc\u200c\u062f\u0647\u062f\n\/\/ - \u0646\u0648\u0631 \u0622\u0628\u06cc \u0648 \u0633\u0628\u0632 \u0631\u0627 \u0645\u06cc\u200c\u06af\u06cc\u0631\u062f\n\n\/\/ \u06a9\u0627\u0646\u0627\u0644\u200c\u0647\u0627 \u0628\u0639\u062f \u0627\u0632 \u062a\u0628\u062f\u06cc\u0644:\n\/\/ \u06a9\u0627\u0646\u0627\u0644 Red = \u0646\u0648\u0631 NIR (\u0628\u0639\u062f \u0627\u0632 \u062d\u0630\u0641 IR-cut)\n\/\/ \u06a9\u0627\u0646\u0627\u0644 Blue = \u0646\u0648\u0631 \u0642\u0631\u0645\u0632 \u0645\u0631\u0626\u06cc\n\n\/\/ \u0641\u0631\u0645\u0648\u0644 NDVI \u0628\u0627 \u062f\u0648\u0631\u0628\u06cc\u0646 \u062a\u0628\u062f\u06cc\u0644\u200c\u0634\u062f\u0647:\n\/\/ NDVI = (Red - Blue) \/ (Red + Blue)  \u2190 \u062a\u0642\u0631\u06cc\u0628\u06cc\n<\/code><\/pre>\n
    \u0645\u062d\u0627\u0633\u0628\u0647 NDVI \u0628\u0627 Python<\/h2>\n
    \nimport numpy as np\nimport cv2\nimport matplotlib.pyplot as plt\n\nimg = cv2.imread('farm_nir.jpg')\nimg = cv2.cvtColor(img, cv2.COLOR_BGR2RGB).astype(float)\n\nNIR  = img[:,:,0]   # \u06a9\u0627\u0646\u0627\u0644 \u0642\u0631\u0645\u0632 = NIR\nRED  = img[:,:,2]   # \u06a9\u0627\u0646\u0627\u0644 \u0622\u0628\u06cc = \u0642\u0631\u0645\u0632 \u0645\u0631\u0626\u06cc\n\n# \u0645\u062d\u0627\u0633\u0628\u0647 NDVI\nndvi = (NIR - RED) \/ (NIR + RED + 1e-10)\nndvi = np.clip(ndvi, -1, 1)\n\n# \u0646\u0645\u0627\u06cc\u0634 \u0631\u0646\u06af\u06cc\nplt.figure(figsize=(12,5))\nplt.subplot(121); plt.imshow(img.astype(int)); plt.title('\u062a\u0635\u0648\u06cc\u0631 NIR')\nplt.subplot(122)\nplt.imshow(ndvi, cmap='RdYlGn', vmin=-0.5, vmax=1.0)\nplt.colorbar(label='NDVI')\nplt.title('\u0646\u0642\u0634\u0647 NDVI')\nplt.savefig('ndvi_map.png', dpi=150)\nprint(f\"NDVI \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646: {ndvi.mean():.3f}\")\n<\/code><\/pre>\n
    Survey Mission \u062f\u0631 Mission Planner<\/h2>\n\n\n\n\n\n\n\n\n\n
    \u067e\u0627\u0631\u0627\u0645\u062a\u0631<\/th>\n\u0645\u0642\u062f\u0627\u0631 \u067e\u06cc\u0634\u0646\u0647\u0627\u062f\u06cc<\/th>\n<\/tr>\n<\/thead>\n
    \u0627\u0631\u062a\u0641\u0627\u0639 \u067e\u0631\u0648\u0627\u0632 Survey<\/td>\n\u06f5\u06f0-\u06f8\u06f0 \u0645\u062a\u0631 (GSD=3cm\/px)<\/td>\n<\/tr>\n
    Overlap \u0637\u0648\u0644\u06cc<\/td>\n70%<\/td>\n<\/tr>\n
    Overlap \u0639\u0631\u0636\u06cc<\/td>\n60%<\/td>\n<\/tr>\n
    \u0633\u0631\u0639\u062a<\/td>\n\u06f5 m\/s<\/td>\n<\/tr>\n
    \u062a\u0631\u06cc\u06af\u0631 \u062f\u0648\u0631\u0628\u06cc\u0646<\/td>\nDO_DIGICAM_CONTROL \u0647\u0631 \u06f2 \u062b\u0627\u0646\u06cc\u0647<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
    \n\n\n\n\n\n\n\n\u062f\u0648\u0631\u0628\u06cc\u0646 NIR<\/text>\nPi Camera+\u0641\u06cc\u0644\u062a\u0631<\/text>\nArduPilot Survey<\/text>\n\u0645\u0633\u06cc\u0631 \u0645\u0648\u0627\u0632\u06cc<\/text>\nOpenDroneMap<\/text>\n\u0627\u062f\u063a\u0627\u0645 \u062a\u0635\u0627\u0648\u06cc\u0631<\/text>\n\u0646\u0642\u0634\u0647 NDVI<\/text>\n\u0633\u0644\u0627\u0645\u062a \u0645\u0632\u0631\u0639\u0647<\/text>\n\u067e\u0647\u067e\u0627\u062f \u06a9\u0634\u0627\u0648\u0631\u0632\u06cc \u2014 NIR \u2192 Survey \u2192 ODM \u2192 \u0646\u0642\u0634\u0647 NDVI<\/text>\n<\/svg><\/p>\n
    \u0648\u06cc\u062f\u0626\u0648\u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc<\/h2>\n
    \n