diff --git a/.idea/Traktor AI.iml b/.idea/Traktor AI.iml
index 078ddf5..858c4d5 100644
--- a/.idea/Traktor AI.iml
+++ b/.idea/Traktor AI.iml
@@ -4,7 +4,7 @@
-
+
\ No newline at end of file
diff --git a/.idea/misc.xml b/.idea/misc.xml
new file mode 100644
index 0000000..8d93904
--- /dev/null
+++ b/.idea/misc.xml
@@ -0,0 +1,4 @@
+
+
+
+
\ No newline at end of file
diff --git a/source/NN/__pycache__/model.cpython-39.pyc b/source/NN/__pycache__/model.cpython-39.pyc
new file mode 100644
index 0000000..60d7965
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diff --git a/source/NN/__pycache__/neural_network.cpython-311.pyc b/source/NN/__pycache__/neural_network.cpython-311.pyc
index 268eb3a..a66d89d 100644
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diff --git a/source/NN/neural_network.py b/source/NN/neural_network.py
index 3202aa4..8152f40 100644
--- a/source/NN/neural_network.py
+++ b/source/NN/neural_network.py
@@ -7,6 +7,7 @@ import matplotlib.pyplot as plt
from NN.model import *
from PIL import Image
import pygame
+from area.constants import GREY
device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu')
@@ -84,16 +85,22 @@ def load_image(image_path):
testImage = testImage.unsqueeze(0)
return testImage
+#display the image for prediction next to the field
def display_image(screen, image_path, position):
image = pygame.image.load(image_path)
image = pygame.transform.scale(image, (250, 250))
screen.blit(image, position)
+#display result of the guessed image (text under the image)
def display_result(screen, position, predicted_class):
font = pygame.font.Font(None, 30)
displayed_text = font.render("The predicted image is: "+str(predicted_class), 1, (255,255,255))
screen.blit(displayed_text, position)
+def clear_text_area(win, x, y, width, height, color=GREY):
+ pygame.draw.rect(win, color, (x, y, width, height))
+ pygame.display.update()
+
def guess_image(model, image_tensor):
with torch.no_grad():
testOutput = model(image_tensor)
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diff --git a/source/area/__pycache__/tractor.cpython-311.pyc b/source/area/__pycache__/tractor.cpython-311.pyc
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diff --git a/source/area/field.py b/source/area/field.py
index 25c1c7b..b08c028 100644
--- a/source/area/field.py
+++ b/source/area/field.py
@@ -6,6 +6,9 @@ from area.constants import WIDTH,FIELD_WIDTH,TILE_SIZE,GREY,ROWS,COLS
from tile import Tile
from ground import Dirt
+from genetic import genetic_algorithm
+import os
+
tiles = []
fieldX = (WIDTH-FIELD_WIDTH)/2
@@ -20,7 +23,7 @@ def positionFieldElements():
t.y += fieldY
-def createTiles():
+''' def createTiles():
for y in range(0, COLS):
for x in range(0, ROWS):
tile = Tile(x*TILE_SIZE, y*TILE_SIZE)
@@ -30,8 +33,47 @@ def createTiles():
tile.randomizeContent()
tiles.append(tile)
positionFieldElements()
+ return tiles '''
+
+def createTiles():
+ best = genetic_algorithm(50, 20, 0.7, 10)
+
+ for y in range(COLS):
+ for x in range (ROWS):
+ tile = Tile(x * TILE_SIZE, y * TILE_SIZE)
+ dirt = Dirt(random.randint(1, 100), random.randint(1, 100))
+ dirt.pests_and_weeds()
+
+ crop = best[y][x]
+ if crop == 'apple':
+ tile.image = "resources/images/sampling.png"
+ photo_path = random.choice(os.listdir("resources/images/plant_photos/apples"))
+ tile.photo = os.path.join("resources/images/plant_photos/apples", photo_path)
+ elif crop == 'cauliflower':
+ tile.image = "resources/images/sampling.png"
+ photo_path = random.choice(os.listdir("resources/images/plant_photos/cauliflowers"))
+ tile.photo = os.path.join("resources/images/plant_photos/cauliflowers", photo_path)
+ elif crop == 'radish':
+ tile.image = "resources/images/sampling.png"
+ photo_path = random.choice(os.listdir("resources/images/plant_photos/radishes"))
+ tile.photo = os.path.join("resources/images/plant_photos/radishes", photo_path)
+ elif crop == 'wheat':
+ tile.image = "resources/images/sampling.png"
+ photo_path = random.choice(os.listdir("resources/images/plant_photos/wheats"))
+ tile.photo = os.path.join("resources/images/plant_photos/wheats", photo_path)
+ elif crop == 'rock_dirt':
+ tile.image = "resources/images/rock_dirt.png"
+ dirt.set_ocstacle(True)
+ else:
+ tile.image = "resources/images/dirt.png"
+ tile.ground = "resources/images/background.jpg"
+
+ tile.ground = dirt
+ tiles.append(tile)
+ positionFieldElements()
return tiles
+
def createField(win):
createTiles()
for t in tiles:
diff --git a/source/area/tractor.py b/source/area/tractor.py
index 7416043..26868e5 100644
--- a/source/area/tractor.py
+++ b/source/area/tractor.py
@@ -1,5 +1,6 @@
+from NN.neural_network import clear_text_area
from crop_protection_product import CropProtectionProduct
-from area.constants import TILE_SIZE, DIRECTION_EAST, DIRECTION_SOUTH, DIRECTION_WEST, DIRECTION_NORTH
+from area.constants import TILE_SIZE, DIRECTION_EAST, DIRECTION_SOUTH, DIRECTION_WEST, DIRECTION_NORTH, WIDTH
from area.field import fieldX, fieldY, tiles
import pygame
import time
@@ -38,16 +39,19 @@ class Tractor:
self.image = pygame.image.load('resources/images/tractor_left.png').convert_alpha()
- def work_on_field(self, tile, ground, plant1):
+ def work_on_field(self, screen, tile, ground, plant1):
+ results = []
if plant1 is None:
tile.randomizeContent()
# sprobuj zasadzic cos
print("Tarctor planted something")
+ results.append("Tarctor planted something")
elif plant1.growth_level == 100:
tile.plant = None
ground.nutrients_level -= 40
ground.water_level -= 40
print("Tractor collected something")
+ results.append("Tractor collected something")
else:
plant1.try_to_grow(50,50) #mozna dostosowac jeszcze
ground.nutrients_level -= 11
@@ -61,6 +65,7 @@ class Tractor:
elif plant1.plant_type == self.spinosad.plant_type:
t = "Tractor used Spinosad"
print(t)
+ results.append(t)
ground.pest = False
if ground.weed:
# traktor pozbywa się chwastow
@@ -71,13 +76,21 @@ class Tractor:
elif plant1.plant_type == self.metazachlor.plant_type:
t = "Tractor used Metazachlor"
print(t)
+ results.append(t)
ground.weed = False
if ground.water_level < plant1.water_requirements:
ground.water_level += 20
print("Tractor watered the plant")
+ results.append("Tractor watered the plant")
if ground.nutrients_level < plant1.nutrients_requirements:
ground.nutrients_level += 20
print("Tractor added some nutrients")
+ results.append("Tractor added some nutrients")
+
+ clear_text_area(screen, WIDTH-90, 100, 400, 100)
+ for idx, result in enumerate(results):
+ display_work_results(screen, result, (WIDTH-90, 100 + idx * 30))
+
@@ -135,27 +148,58 @@ class Tractor:
def draw_tractor(self, win):
-
imageTractor = pygame.transform.scale(self.image, (TILE_SIZE, TILE_SIZE))
win.blit(imageTractor, (self.rect.x, self.rect.y))
pygame.display.flip()
+
+ def store_tile_image(self, tile):
+ return pygame.image.load(tile.image).convert_alpha()
+
+ def restore_tile_image(self, screen, tile):
+ image = pygame.image.load(tile.image).convert_alpha()
+ image = pygame.transform.scale(image, (TILE_SIZE, TILE_SIZE))
+ screen.blit(image, (tile.x, tile.y))
+ pygame.display.update()
+
+
+
#translates move_list generated by bfs into the actual movement:
def do_actions(tractor, WIN, move_list):
- trail = pygame.image.load("resources/images/background.jpg").convert_alpha()
- trail = pygame.transform.scale(trail, (TILE_SIZE, TILE_SIZE))
+ # trail = pygame.image.load("resources/images/background.jpg").convert_alpha()
+ # trail = pygame.transform.scale(trail, (TILE_SIZE, TILE_SIZE))
+ tile_images = {}
+ for tile in tiles:
+ tile_images[(tile.x, tile.y)] = tractor.store_tile_image(tile)
pygame.display.update()
for move in move_list:
- WIN.blit(trail, (tractor.rect.x, tractor.rect.y, TILE_SIZE, TILE_SIZE))
+ # WIN.blit(trail, (tractor.rect.x, tractor.rect.y, TILE_SIZE, TILE_SIZE))
+ current_tile = None
+ for tile in tiles:
+ if tile.x == tractor.rect.x and tile.y == tractor.rect.y:
+ current_tile = tile
+ break
+ if current_tile:
+ tractor.restore_tile_image(WIN, current_tile)
+
if move == "move":
tractor.move()
elif move == "rotate_right":
tractor.rotate_to_right()
elif move == "rotate_left":
tractor.rotate_to_left()
+
tractor.draw_tractor(WIN)
pygame.display.update()
- time.sleep(1)
+ time.sleep(0.35)
+#displays results of the "work_on_field" function next to the field:
+def display_work_results(screen, text, position):
+ font = pygame.font.Font(None, 30)
+ displayed_text = font.render(text, 1, (255,255,255))
+ screen.blit(displayed_text, position)
+ pygame.display.update()
+
+
diff --git a/source/astar.py b/source/astar.py
index 51634b3..943ab6f 100644
--- a/source/astar.py
+++ b/source/astar.py
@@ -79,6 +79,8 @@ def goal_test(elem, goalstate):
def tile_cost(tile):
if tile.image == "resources/images/sampling.png":
return 100
+ if tile.image == "resources/images/rock_dirt.png":
+ return 500
else:
return 1
@@ -89,7 +91,7 @@ def heuristic(current_x, current_y, end_x, end_y):
# actions(string): move, rotate_to_left, rotate_to_right
# main search function:
-def a_star(istate, succ, goaltest, tractor):
+def a_star(istate, succ_astar, goaltest):
fringe = []
explored = set()
node = Node(0, istate.get_x(), istate.get_y(), istate.get_direction(), None, None, 0)
@@ -107,7 +109,7 @@ def a_star(istate, succ, goaltest, tractor):
explored.add(elem)
- for (action, state) in succ(temp, tractor):
+ for (action, state) in succ_astar(temp):
fringe_tuple = []
explored_tuple = []
diff --git a/source/bfs.py b/source/bfs.py
index eb6e0ee..2d645e7 100644
--- a/source/bfs.py
+++ b/source/bfs.py
@@ -158,7 +158,43 @@ def succ(elem, tractor):
return actions_states
+
+ #its the copy of successor function for A* only - tractor can ride through stones if there is no other way:
+def succ_astar(elem):
+ actions_states = []
+ temp = copy.copy(elem.get_direction())
+
+ if temp == 1:
+ temp = 4
+ else:
+ temp -= 1
+ actions_states.append(("rotate_left", (elem.get_x(), elem.get_y(), temp)))
+ temp = copy.copy(elem.get_direction())
+ if temp == 4:
+ temp = 1
+ else:
+ temp += 1
+ actions_states.append(("rotate_right", (elem.get_x(), elem.get_y(), temp)))
+
+ temp_move_east = elem.get_x() + TILE_SIZE
+ temp_move_west = elem.get_x() - TILE_SIZE
+ temp_move_north = elem.get_y() - TILE_SIZE
+ temp_move_south = elem.get_y() + TILE_SIZE
+
+ if Tractor.can_it_move_node(elem) == "move east":
+ actions_states.append(("move", (temp_move_east, elem.get_y(), elem.get_direction())))
+
+ elif Tractor.can_it_move_node(elem) == "move west":
+ actions_states.append(("move", (temp_move_west, elem.get_y(), elem.get_direction())))
+
+ elif Tractor.can_it_move_node(elem) == "move north":
+ actions_states.append(("move", (elem.get_x(), temp_move_north, elem.get_direction())))
+
+ elif Tractor.can_it_move_node(elem) == "move south":
+ actions_states.append(("move", (elem.get_x(), temp_move_south, elem.get_direction())))
+
+ return actions_states
#returns list of actions
def get_moves(elem):
diff --git a/source/genetic.py b/source/genetic.py
new file mode 100644
index 0000000..8b2873e
--- /dev/null
+++ b/source/genetic.py
@@ -0,0 +1,98 @@
+import random
+
+def make_population(population_s, field_s):
+ population = []
+ crops = ['apple', 'cauliflower', 'radish', 'wheat', 'rock_dirt', 'dirt']
+
+ for _ in range(population_s):
+ i = []
+ for _ in range(field_s):
+ row = random.choices(crops, k=field_s)
+ i.append(row)
+ population.append(i)
+ return population
+
+def calculate_fitness(individual):
+ cost = 0
+ for i in range(len(individual)):
+ for j in range(len(individual[i])):
+ crop = individual[i][j]
+ neighbors = [
+ individual[x][y]
+ for x in range(max(0, i-1), min(len(individual), i+2))
+ for y in range(max(0, j-1), min(len(individual), j+2))
+ if (x,y) != (i,j)
+ ]
+ for n in neighbors:
+ if crop == 'wheat' and n == 'apple':
+ cost += 2
+ elif crop == 'cauliflower' and n == 'radish':
+ cost += 4
+
+ fitness = 1/(1+cost)
+ return fitness
+
+def select_parents(population, fitnesses):
+ fitnesses_sum = sum(fitnesses)
+ selection_parts = [fitness / fitnesses_sum for fitness in fitnesses]
+ parents = random.choices(population, weights=selection_parts, k=2)
+ return parents
+
+def crossover(parent_1, parent_2):
+ crossover_point = random.randint(1, (len(parent_1)-1))
+ child_1 = parent_1[:crossover_point] + parent_2[crossover_point:]
+ child_2 = parent_2[:crossover_point] + parent_1[crossover_point:]
+ return child_1, child_2
+
+def mutation(individual, chance):
+ crops = ['apple', 'cauliflower', 'radish', 'wheat', 'rock_dirt', 'dirt']
+ if random.random() < chance:
+ row = random.randint(0, len(individual) - 1)
+ column = random.randint(0, len(individual[0]) - 1)
+ individual[row][column] = random.choice(crops)
+ return individual
+
+def genetic_algorithm(population_s, field_s, chance, limit):
+ population = make_population(population_s, field_s)
+
+ best_fitness = 0
+ count = 0
+
+ while best_fitness < 1:
+ fitnesses = [calculate_fitness(individual) for individual in population]
+ new_population = []
+
+ for _ in range(population_s // 2):
+ parent_1, parent_2 = select_parents(population, fitnesses)
+
+ p1c = calculate_fitness(parent_1)
+ p2c = calculate_fitness(parent_2)
+ print("p1c: ",p1c,"\np2c: ",p2c)
+
+ child_1, child_2 = crossover(parent_1, parent_2)
+ child_1 = mutation(child_1, chance)
+ child_2 = mutation(child_2, chance)
+ new_population.append(child_1)
+ new_population.append(child_2)
+
+ combined_population = population + new_population
+ combined_population = sorted(combined_population, key=calculate_fitness, reverse=True)
+
+ population = combined_population[:population_s]
+
+ current_best_fitness = calculate_fitness(population[0])
+ if current_best_fitness > best_fitness:
+ best_fitness = current_best_fitness
+ count = 0
+ else:
+ count += 1
+
+ if count >= limit:
+ break
+
+ best_child = max(population, key=calculate_fitness)
+
+ bsf = calculate_fitness(best_child)
+ print("bsf: ", bsf)
+
+ return best_child
diff --git a/source/ground.py b/source/ground.py
index 5f13386..a755c5c 100644
--- a/source/ground.py
+++ b/source/ground.py
@@ -20,7 +20,10 @@ class Dirt:
elif i == 4:
self.weed = True
self.pest = True
- elif i == 5:
- self.obstacle = True
+ '''elif i == 5:
+ self.obstacle = True'''
+
+ def set_ocstacle(self, obstacle_status):
+ self.obstacle = obstacle_status
# add init, getters,setters
diff --git a/source/main.py b/source/main.py
index cf13d41..7e22d63 100644
--- a/source/main.py
+++ b/source/main.py
@@ -5,15 +5,18 @@ import pandas as pd
import joblib
from area.constants import WIDTH, HEIGHT, TILE_SIZE
from area.field import drawWindow
-from area.tractor import Tractor, do_actions
+from area.tractor import Tractor, do_actions, display_work_results
from area.field import tiles, fieldX, fieldY
from area.field import get_tile_coordinates, get_tile_index
from ground import Dirt
from plant import Plant
-from bfs import graphsearch, Istate, succ
+from bfs import graphsearch, Istate, succ_astar, succ
from astar import a_star
-from NN.neural_network import load_model, load_image, guess_image, display_image, display_result
-from PIL import Image
+from NN.neural_network import load_model, load_image, guess_image, display_image, display_result, clear_text_area
+from PIL import Image
+from genetic import genetic_algorithm
+
+from area.field import createTiles
pygame.init()
WIN_WIDTH = WIDTH + 300
@@ -26,39 +29,13 @@ def main():
window = drawWindow(WIN)
pygame.display.update()
-#getting coordinates of our "goal tile":
- tile_index = get_tile_index()
- tile_x, tile_y = get_tile_coordinates(tile_index)
- if tile_x is not None and tile_y is not None:
- print(f"Coordinates of tile {tile_index} are: ({tile_x}, {tile_y})")
- else: print("Such tile does not exist")
-
- #mark the goal tile:
- tiles[tile_index].image = "resources/images/sampling_goal.png"
- image = pygame.image.load(tiles[tile_index].image).convert()
- image = pygame.transform.scale(image, (TILE_SIZE, TILE_SIZE))
- WIN.blit(image, (tiles[tile_index].x, tiles[tile_index].y))
- pygame.display.flip()
-
-
-#graphsearch activation:
- istate = Istate(170, 100, 2) #initial state
-
- goaltest = []
- goaltest.append(tile_x) #final state (consists of x and y because direction doesnt matter)
- goaltest.append(tile_y)
+#Tractor initialization:
tractor = Tractor(0*TILE_SIZE, 0*TILE_SIZE, 2, None, None)
tractor.rect.x += fieldX
- tractor.rect.y += fieldY
- tractor.tractor_start = ((istate.get_x(), istate.get_y()))
- #tractor.tractor_start = ((istate.get_x(), istate.get_y(), istate.get_direction))
- tractor.tractor_end = ((goaltest[0], goaltest[1]))
-
- #moves = (graphsearch(istate, succ, goaltest, tractor))
- moves = (a_star(istate, succ, goaltest, tractor))
- print(moves)
-
+ tractor.rect.y += fieldY
+ tractor.tractor_start = ((170, 100))
+ istate = Istate(170, 100, 2) #initial state
#main loop:
@@ -68,8 +45,34 @@ def main():
run = False
time.sleep(1)
- # movement based on route-planning (test):
+ #getting coordinates of our "goal tile":
+ tile_index = get_tile_index()
+ tile_x, tile_y = get_tile_coordinates(tile_index)
+ if tile_x is not None and tile_y is not None:
+ print(f"Coordinates of tile {tile_index} are: ({tile_x}, {tile_y})")
+ else: print("Such tile does not exist")
+ #mark the goal tile:
+ tiles[tile_index].image = "resources/images/sampling_goal.png"
+ image = pygame.image.load(tiles[tile_index].image).convert()
+ image = pygame.transform.scale(image, (TILE_SIZE, TILE_SIZE))
+ WIN.blit(image, (tiles[tile_index].x, tiles[tile_index].y))
+ pygame.display.flip()
+
+
+ tractor.tractor_end = ((tile_x, tile_y))
+ goaltest = [] #final state (consists of x and y because direction doesnt matter)
+ goaltest.append(tile_x)
+ goaltest.append(tile_y)
+ goaltest[0] = tile_x
+ goaltest[1]=tile_y
+
+ #moves = (graphsearch(istate, succ, goaltest, tractor)) #<-------BFS
+ moves = (a_star(istate, succ_astar, goaltest))
+ print(moves)
+
+
+ # movement based on route-planning:
tractor.draw_tractor(WIN)
time.sleep(1)
if moves != False:
@@ -85,6 +88,7 @@ def main():
image_tensor = load_image(image_path)
prediction = guess_image(load_model(), image_tensor)
+ clear_text_area(WIN, WIDTH - 50, 600, 400, 50)
display_result(WIN, (WIDTH - 50 , 600), prediction) #display text under the photo
pygame.display.update()
print(f"The predicted image is: {prediction}")
@@ -97,8 +101,9 @@ def main():
goalTile.ground=d1
#getting the name and type of the recognized plant:
p1.update_name(prediction)
-
- #decission tree test:
+
+
+#decission tree test:
if d1.pest:
pe = 1
else:
@@ -127,19 +132,71 @@ def main():
t3 = True
t4 = False
+ weather_n = random.randint(1, 4)
+ if weather_n == 1:
+ h1 = True
+ h2 = False
+ h3 = False
+ h4 = False
+ else:
+ h1 = False
+ if weather_n == 2:
+ h2 = True
+ h3 = False
+ h4 = False
+ else:
+ h2 = False
+ if weather_n == 3:
+ h3 = True
+ h4 = False
+ else:
+ h3 = False
+ h4 = True
+
+ season_n = random.randint(1,4)
+ if season_n == 1:
+ s1 = True
+ s2 = False
+ s3 = False
+ s4 = False
+ temp_n = random.randint(0,22)
+ else:
+ s1 = False
+ if season_n == 2:
+ s2 = True
+ s3 = False
+ s4 = False
+ temp_n = random.randint(0,22)
+ else:
+ s2 = False
+ if season_n == 3:
+ s3 = True
+ s4 = False
+ temp_n = random.randint(20,39)
+ else:
+ s3 = False
+ s4 = True
+ temp_n = random.randint(-20, 10)
+
+ anomaly_n = random.randint(1, 10)
+ if anomaly_n == 1:
+ a1 = True
+ else:
+ a1 = False
dane = {
- 'anomalies': [True],
- 'temp': [17],
- 'water': [d1.water_level],
- 'nutri': [d1.nutrients_level],
- 'pests': [pe],
- 'weeds': [we],
- 'ripeness': [p1.growth_level],
- 'season_autumn': [True], 'season_spring': [False], 'season_summer': [False], 'season_winter': [False],
- 'weather_heavyCloudy': [False], 'weather_partCloudy': [False], 'weather_precipitation': [False],
- 'weather_sunny': [True],
- 'type_cereal': [t1], 'type_fruit': [t2], 'type_none': [t3], 'type_vegetable': [t4]
+ 'anomalies': [a1],
+ 'temp': [temp_n],
+ 'water': [d1.water_level],
+ 'nutri': [d1.nutrients_level],
+ 'pests': [pe],
+ 'weeds': [we],
+ 'ripeness': [p1.growth_level],
+ 'season_autumn': [s1], 'season_spring': [s2], 'season_summer': [s3], 'season_winter': [s4],
+ 'weather_heavyCloudy': [h1], 'weather_partCloudy': [h2], 'weather_precipitation': [h3],
+ 'weather_sunny': [h4],
+ 'type_cereal': [t1], 'type_fruit': [t2], 'type_none': [t3], 'type_vegetable': [t4]
}
+
df = pd.DataFrame(dane)
df.to_csv('model_data.csv', index=False)
@@ -150,8 +207,20 @@ def main():
#work on field:
if predykcje == 'work':
- tractor.work_on_field(goalTile, d1, p1)
- time.sleep(50)
+ tractor.work_on_field(WIN, goalTile, d1, p1)
+
+ #update the initial state for the next target:
+ istate = Istate(tile_x, tile_y, tractor.direction)
+
+ #old goalTile is displayed with a black border - to show that it was an old target:
+ tiles[tile_index].image = "resources/images/sampling_old_goal.png"
+ image = pygame.image.load(tiles[tile_index].image).convert()
+ image = pygame.transform.scale(image, (TILE_SIZE, TILE_SIZE))
+ WIN.blit(image, (tiles[tile_index].x, tiles[tile_index].y))
+ pygame.display.flip()
+ tractor.draw_tractor(WIN)
+
+ time.sleep(2)
print("\n")
diff --git a/source/model_data.csv b/source/model_data.csv
index 8212e0f..e52cdaf 100644
--- a/source/model_data.csv
+++ b/source/model_data.csv
@@ -1,2 +1,2 @@
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
-True,17,32,2,0,0,54,True,False,False,False,False,False,False,True,True,False,False,False
+True,17,72,73,0,0,60,True,False,False,False,False,False,False,True,False,True,False,False
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