genetic_algorithm #7
@ -4,7 +4,7 @@
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<content url="file://$MODULE_DIR$">
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<excludeFolder url="file://$MODULE_DIR$/venv" />
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</content>
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<orderEntry type="jdk" jdkName="Python 3.10 (Traktor)" jdkType="Python SDK" />
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<orderEntry type="inheritedJdk" />
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<orderEntry type="sourceFolder" forTests="false" />
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</component>
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</module>
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.idea/misc.xml
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.9" project-jdk-type="Python SDK" />
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</project>
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source/NN/__pycache__/model.cpython-39.pyc
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source/NN/__pycache__/neural_network.cpython-39.pyc
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source/__pycache__/genetic.cpython-39.pyc
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@ -6,6 +6,9 @@ from area.constants import WIDTH,FIELD_WIDTH,TILE_SIZE,GREY,ROWS,COLS
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from tile import Tile
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from ground import Dirt
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from genetic import genetic_algorithm
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import os
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tiles = []
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fieldX = (WIDTH-FIELD_WIDTH)/2
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@ -20,7 +23,7 @@ def positionFieldElements():
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t.y += fieldY
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def createTiles():
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''' def createTiles():
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for y in range(0, COLS):
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for x in range(0, ROWS):
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tile = Tile(x*TILE_SIZE, y*TILE_SIZE)
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@ -30,8 +33,47 @@ def createTiles():
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tile.randomizeContent()
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tiles.append(tile)
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positionFieldElements()
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return tiles '''
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def createTiles():
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best = genetic_algorithm(50, 20, 0.7, 10)
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for y in range(COLS):
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for x in range (ROWS):
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tile = Tile(x * TILE_SIZE, y * TILE_SIZE)
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dirt = Dirt(random.randint(1, 100), random.randint(1, 100))
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dirt.pests_and_weeds()
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crop = best[y][x]
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if crop == 'apple':
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tile.image = "resources/images/sampling.png"
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photo_path = random.choice(os.listdir("resources/images/plant_photos/apples"))
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tile.photo = os.path.join("resources/images/plant_photos/apples", photo_path)
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elif crop == 'cauliflower':
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tile.image = "resources/images/sampling.png"
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photo_path = random.choice(os.listdir("resources/images/plant_photos/cauliflowers"))
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tile.photo = os.path.join("resources/images/plant_photos/cauliflowers", photo_path)
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elif crop == 'radish':
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tile.image = "resources/images/sampling.png"
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photo_path = random.choice(os.listdir("resources/images/plant_photos/radishes"))
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tile.photo = os.path.join("resources/images/plant_photos/radishes", photo_path)
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elif crop == 'wheat':
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tile.image = "resources/images/sampling.png"
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photo_path = random.choice(os.listdir("resources/images/plant_photos/wheats"))
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tile.photo = os.path.join("resources/images/plant_photos/wheats", photo_path)
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elif crop == 'rock_dirt':
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tile.image = "resources/images/rock_dirt.png"
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dirt.set_ocstacle(True)
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else:
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tile.image = "resources/images/dirt.png"
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tile.ground = "resources/images/background.jpg"
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tile.ground = dirt
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tiles.append(tile)
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positionFieldElements()
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return tiles
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def createField(win):
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createTiles()
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for t in tiles:
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source/genetic.py
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import random
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def make_population(population_s, field_s):
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population = []
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crops = ['apple', 'cauliflower', 'radish', 'wheat', 'rock_dirt', 'dirt']
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for _ in range(population_s):
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i = []
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for _ in range(field_s):
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row = random.choices(crops, k=field_s)
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i.append(row)
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population.append(i)
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return population
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def calculate_fitness(individual):
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cost = 0
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for i in range(len(individual)):
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for j in range(len(individual[i])):
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crop = individual[i][j]
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neighbors = [
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individual[x][y]
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for x in range(max(0, i-1), min(len(individual), i+2))
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for y in range(max(0, j-1), min(len(individual), j+2))
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if (x,y) != (i,j)
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]
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for n in neighbors:
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if crop == 'wheat' and n == 'apple':
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cost += 2
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elif crop == 'cauliflower' and n == 'radish':
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cost += 4
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fitness = 1/(1+cost)
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return fitness
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def select_parents(population, fitnesses):
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fitnesses_sum = sum(fitnesses)
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selection_parts = [fitness / fitnesses_sum for fitness in fitnesses]
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parents = random.choices(population, weights=selection_parts, k=2)
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return parents
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def crossover(parent_1, parent_2):
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crossover_point = random.randint(1, (len(parent_1)-1))
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child_1 = parent_1[:crossover_point] + parent_2[crossover_point:]
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child_2 = parent_2[:crossover_point] + parent_1[crossover_point:]
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return child_1, child_2
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def mutation(individual, chance):
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crops = ['apple', 'cauliflower', 'radish', 'wheat', 'rock_dirt', 'dirt']
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if random.random() < chance:
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row = random.randint(0, len(individual) - 1)
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column = random.randint(0, len(individual[0]) - 1)
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individual[row][column] = random.choice(crops)
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return individual
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def genetic_algorithm(population_s, field_s, chance, limit):
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population = make_population(population_s, field_s)
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best_fitness = 0
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count = 0
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while best_fitness < 1:
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fitnesses = [calculate_fitness(individual) for individual in population]
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new_population = []
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for _ in range(population_s // 2):
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parent_1, parent_2 = select_parents(population, fitnesses)
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p1c = calculate_fitness(parent_1)
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p2c = calculate_fitness(parent_2)
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print("p1c: ",p1c,"\np2c: ",p2c)
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child_1, child_2 = crossover(parent_1, parent_2)
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child_1 = mutation(child_1, chance)
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child_2 = mutation(child_2, chance)
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new_population.append(child_1)
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new_population.append(child_2)
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combined_population = population + new_population
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combined_population = sorted(combined_population, key=calculate_fitness, reverse=True)
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population = combined_population[:population_s]
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current_best_fitness = calculate_fitness(population[0])
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if current_best_fitness > best_fitness:
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best_fitness = current_best_fitness
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count = 0
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else:
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count += 1
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if count >= limit:
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break
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best_child = max(population, key=calculate_fitness)
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bsf = calculate_fitness(best_child)
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print("bsf: ", bsf)
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return best_child
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@ -20,7 +20,10 @@ class Dirt:
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elif i == 4:
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self.weed = True
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self.pest = True
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elif i == 5:
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self.obstacle = True
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'''elif i == 5:
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self.obstacle = True'''
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def set_ocstacle(self, obstacle_status):
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self.obstacle = obstacle_status
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# add init, getters,setters
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@ -13,7 +13,10 @@ from plant import Plant
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from bfs import graphsearch, Istate, succ
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from astar import a_star
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from NN.neural_network import load_model, load_image, guess_image, display_image, display_result
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from PIL import Image
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from PIL import Image
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from genetic import genetic_algorithm
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from area.field import createTiles
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pygame.init()
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WIN_WIDTH = WIDTH + 300
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@ -23,6 +26,7 @@ pygame.display.set_caption('Intelligent tractor')
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def main():
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run = True
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window = drawWindow(WIN)
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pygame.display.update()
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@ -1,2 +1,2 @@
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anomalies,temp,water,nutri,pests,weeds,ripeness,season_autumn,season_spring,season_summer,season_winter,weather_heavyCloudy,weather_partCloudy,weather_precipitation,weather_sunny,type_cereal,type_fruit,type_none,type_vegetable
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True,17,32,2,0,0,54,True,False,False,False,False,False,False,True,True,False,False,False
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True,17,72,73,0,0,60,True,False,False,False,False,False,False,True,False,True,False,False
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source/resources/images/plant_photos/apples/91FfdTLrL7L.jpg
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source/resources/images/plant_photos/apples/apple.jpeg
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source/resources/images/plant_photos/apples/images.jpeg
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source/resources/images/plant_photos/cauliflowers/ccc.jpeg
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source/resources/images/plant_photos/radishes/imawes.jpeg
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source/resources/images/plant_photos/radishes/imewges.jpeg
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source/resources/images/plant_photos/radishes/radd.jpeg
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