From 1315795a415b7e06d4d1b4af3cccf845e58f43bb Mon Sep 17 00:00:00 2001
From: loki353 <lokeshbakkolaa@gmail.com>
Date: Fri, 2 May 2025 22:43:54 +0530
Subject: [PATCH] Create Loki
---
Loki | 47 +++++++++++++++++++++++++++++++++++++++++++++++
1 file changed, 47 insertions(+)
create mode 100644 Loki
diff --git a/Loki b/Loki
new file mode 100644
index 0000000..0715a81
--- /dev/null
+++ b/Loki
@@ -0,0 +1,47 @@
+import cv2
+import numpy as np
+
+def create_simulated_fruit(with_pesticide=False):
+ # Create a blank image (500x500 pixels, RGB)
+ image = np.zeros((500, 500, 3), dtype=np.uint8)
+
+ # Draw a red circle to simulate an apple
+ cv2.circle(image, (250, 250), 100, (0, 0, 255), -1)
+
+ if with_pesticide:
+ # Simulate pesticide residue with white spots
+ for _ in range(30):
+ x = np.random.randint(150, 350)
+ y = np.random.randint(150, 350)
+ radius = np.random.randint(3, 10)
+ cv2.circle(image, (x, y), radius, (255, 255, 255), -1)
+ return image
+
+def detect_pesticide(image):
+ hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
+ lower_white = np.array([0, 0, 200])
+ upper_white = np.array([180, 55, 255])
+ mask = cv2.inRange(hsv, lower_white, upper_white)
+ result = cv2.bitwise_and(image, image, mask=mask)
+ residue_pixels = cv2.countNonZero(mask)
+
+ print(f"Pesticide residue pixel count: {residue_pixels}")
+ if residue_pixels > 100:
+ print("Pesticide Detected!")
+ else:
+ print("No Pesticide Detected.")
+
+ # Display results
+ cv2.imshow("Simulated Fruit", image)
+ cv2.imshow("Pesticide Detection Result", result)
+ cv2.waitKey(0)
+ cv2.destroyAllWindows()
+
+# Run simulation with and without pesticide
+print("Simulating clean fruit:")
+clean_fruit = create_simulated_fruit(with_pesticide=False)
+detect_pesticide(clean_fruit)
+
+print("\nSimulating contaminated fruit:")
+contaminated_fruit = create_simulated_fruit(with_pesticide=True)
+detect_pesticide(contaminated_fruit)