Rename US to Midwest USA in species analysis and fix data

- Rename region label from "US" to "Midwest USA" across analysis script, stats, and LaTeX table
- Capitalize scientific names in LaTeX table
- Fix weed counts and IPM coverage for Africa/India
- Regenerate visualization plot

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

species-organized/species_analysis.py

@@ -30,7 +30,7 @@ plt.rcParams.update({
 # Define color palette
 COLORS = ['#2E86AB', '#A23B72', '#F18F01', '#C73E1D', '#6A994E', '#BC4B51', '#5B8E7D', '#F4A259']
 REGION_COLORS = {
-    'US': '#2E86AB',
+    'Midwest USA': '#2E86AB',
     'Africa': '#F18F01',
     'India': '#6A994E'
 }
@@ -49,12 +49,12 @@ def load_and_prepare_data():
     print("Loading data from Excel file...")
 
     # Read all sheets
-    us_df = pd.read_excel(DATA_FILE, sheet_name='US')
+    us_df = pd.read_excel(DATA_FILE, sheet_name='Midwest USA')
     africa_df = pd.read_excel(DATA_FILE, sheet_name='Africa')
     india_df = pd.read_excel(DATA_FILE, sheet_name='India')
 
     # Add region column
-    us_df['Region'] = 'US'
+    us_df['Region'] = 'Midwest USA'
     africa_df['Region'] = 'Africa'
     india_df['Region'] = 'India'
 
@@ -170,7 +170,7 @@ def create_visualization(df):
 
     # Get insect and weed counts by region
     tag_by_region = pd.crosstab(df['Region'], df['Tag'])
-    tag_by_region = tag_by_region.reindex(['US', 'Africa', 'India'])
+    tag_by_region = tag_by_region.reindex(['Midwest USA', 'Africa', 'India'])
 
     insects = tag_by_region['insect'].values if 'insect' in tag_by_region.columns else [0, 0, 0]
     weeds = tag_by_region['weed'].values if 'weed' in tag_by_region.columns else [0, 0, 0]
@@ -200,7 +200,7 @@ def create_visualization(df):
     accuracy_data = []
     labels = []
     colors_box = []
-    for region in ['US', 'Africa', 'India']:
+    for region in ['Midwest USA', 'Africa', 'India']:
         region_acc = df[df['Region'] == region]['Accuracy'].dropna()
         if len(region_acc) > 0:
             accuracy_data.append(region_acc)
@@ -227,7 +227,7 @@ def create_visualization(df):
     ax3 = fig.add_subplot(gs[1, 0])
 
     # Calculate species overlap
-    us_species = set(df[df['Region'] == 'US']['Species'].str.lower().str.strip())
+    us_species = set(df[df['Region'] == 'Midwest USA']['Species'].str.lower().str.strip())
     africa_species = set(df[df['Region'] == 'Africa']['Species'].str.lower().str.strip())
     india_species = set(df[df['Region'] == 'India']['Species'].str.lower().str.strip())
 
@@ -248,8 +248,8 @@ def create_visualization(df):
     # Circle parameters for proper overlap
     radius = 1.0
     # Positions chosen to create good overlaps
-    circle_us = Circle((1.2, 1.8), radius, color=REGION_COLORS['US'], alpha=0.4,
-                       linewidth=2, edgecolor=REGION_COLORS['US'], fill=True)
+    circle_us = Circle((1.2, 1.8), radius, color=REGION_COLORS['Midwest USA'], alpha=0.4,
+                       linewidth=2, edgecolor=REGION_COLORS['Midwest USA'], fill=True)
     circle_africa = Circle((2.8, 1.8), radius, color=REGION_COLORS['Africa'], alpha=0.4,
                           linewidth=2, edgecolor=REGION_COLORS['Africa'], fill=True)
     circle_india = Circle((2.0, 0.7), radius, color=REGION_COLORS['India'], alpha=0.4,
@@ -260,7 +260,7 @@ def create_visualization(df):
     ax3.add_patch(circle_india)
 
     # Add labels for regions (outside circles, avoiding overlap)
-    ax3.text(0.4, 2.9, 'US', fontsize=13, fontweight='bold', color=REGION_COLORS['US'], ha='center')
+    ax3.text(0.4, 2.9, 'Midwest USA', fontsize=11, fontweight='bold', color=REGION_COLORS['Midwest USA'], ha='center')
     ax3.text(3.6, 2.9, 'Africa', fontsize=13, fontweight='bold', color=REGION_COLORS['Africa'], ha='center')
     ax3.text(2.0, -0.45, 'India', fontsize=13, fontweight='bold', color=REGION_COLORS['India'], ha='center')
 
@@ -345,7 +345,7 @@ def generate_statistics(df):
     stats.append(f"Total species: {len(df)}")
     stats.append("")
     stats.append("By Region:")
-    for region in ['US', 'Africa', 'India']:
+    for region in ['Midwest USA', 'Africa', 'India']:
         count = len(df[df['Region'] == region])
         percentage = (count / len(df)) * 100
         stats.append(f"  {region:10s}: {count:3d} species ({percentage:5.1f}%)")
@@ -363,7 +363,7 @@ def generate_statistics(df):
     stats.append("")
 
     stats.append("By Region:")
-    for region in ['US', 'Africa', 'India']:
+    for region in ['Midwest USA', 'Africa', 'India']:
         region_df = df[df['Region'] == region]
         insects = len(region_df[region_df['Tag'] == 'insect'])
         weeds = len(region_df[region_df['Tag'] == 'weed'])
@@ -376,7 +376,7 @@ def generate_statistics(df):
     stats.append("3. ACCURACY STATISTICS")
     stats.append("-" * 40)
 
-    for region in ['US', 'Africa', 'India']:
+    for region in ['Midwest USA', 'Africa', 'India']:
         region_df = df[df['Region'] == region]
         acc = region_df['Accuracy'].dropna()
 
@@ -406,7 +406,7 @@ def generate_statistics(df):
     stats.append("4. IPM INFORMATION COVERAGE")
     stats.append("-" * 40)
 
-    for region in ['US', 'Africa', 'India']:
+    for region in ['Midwest USA', 'Africa', 'India']:
         region_df = df[df['Region'] == region]
         with_ipm = region_df['Has_IPM'].sum()
         total = len(region_df)
@@ -439,7 +439,7 @@ def generate_statistics(df):
     stats.append("7. SPECIES OVERLAP ACROSS REGIONS")
     stats.append("-" * 40)
 
-    us_species = set(df[df['Region'] == 'US']['Species'].str.lower().str.strip())
+    us_species = set(df[df['Region'] == 'Midwest USA']['Species'].str.lower().str.strip())
     africa_species = set(df[df['Region'] == 'Africa']['Species'].str.lower().str.strip())
     india_species = set(df[df['Region'] == 'India']['Species'].str.lower().str.strip())
 
@@ -448,12 +448,12 @@ def generate_statistics(df):
     overlap_africa_india = africa_species & india_species
     all_three = us_species & africa_species & india_species
 
-    stats.append(f"US & Africa:      {len(overlap_us_africa)} species")
+    stats.append(f"Midwest USA & Africa:      {len(overlap_us_africa)} species")
     if len(overlap_us_africa) > 0:
         for species in sorted(overlap_us_africa):
             stats.append(f"  - {species}")
 
-    stats.append(f"\nUS & India:       {len(overlap_us_india)} species")
+    stats.append(f"\nMidwest USA & India:       {len(overlap_us_india)} species")
     if len(overlap_us_india) > 0:
         for species in sorted(overlap_us_india):
             stats.append(f"  - {species}")

species-organized/species_statistics.txt

@@ -7,7 +7,7 @@ PEST SPECIES ANALYSIS - STATISTICS SUMMARY
 Total species: 126
 
 By Region:
-  US        :  80 species ( 63.5%)
+  Midwest USA:  80 species ( 63.5%)
   Africa    :  35 species ( 27.8%)
   India     :  11 species (  8.7%)
 
@@ -15,22 +15,22 @@ By Region:
 ----------------------------------------
 Overall:
   Insects: 65 (51.6%)
-  Weeds:   59 (46.8%)
+  Weeds:   61 (48.4%)
 
 By Region:
-  US:
+  Midwest USA:
     Insects: 44
     Weeds:   36
   Africa:
     Insects: 10
-    Weeds:   23
+    Weeds:   25
   India:
     Insects: 11
     Weeds:   0
 
 3. ACCURACY STATISTICS
 ----------------------------------------
-US:
+Midwest USA:
   Mean:      89.69%
   Median:    91.00%
   Std Dev:   11.74%
@@ -62,44 +62,44 @@ Overall (all regions):
 
 4. IPM INFORMATION COVERAGE
 ----------------------------------------
-US        :  0/80 species (  0.0%)
+Midwest USA:  0/80 species (  0.0%)
 Africa    : 35/35 species (100.0%)
-India     : 10/11 species ( 90.9%)
-Overall   : 45/126 species ( 35.7%)
+India     : 11/11 species (100.0%)
+Overall   : 46/126 species ( 36.5%)
 
 5. TOP 10 SPECIES BY ACCURACY
 ----------------------------------------
- 1. Seedcorn beetle                (stenolophus lecontei     ) - 100.0% [US]
- 2. Seedcorn maggot                (delia platura            ) - 100.0% [US]
- 3. Hop Vine Borer                 (hydraecia immanis        ) - 100.0% [US]
- 4. Barnyardgrass                  (echinochloa crus-galli   ) - 100.0% [US]
- 5. common Cocklebur               (xanthium strumarium      ) - 100.0% [US]
- 6. common Lambsquarters           (chenopodium album        ) - 100.0% [US]
- 7. CommonWaterhemp                (amaranthus tuberculatus  ) - 100.0% [US]
- 8. Gaint ragweed                  (ambrosia trifida         ) - 100.0% [US]
- 9. Henbit (deadnettle)            (lamium amplexicaule      ) - 100.0% [US]
-10. Jimsonweed                     (datura stramonium        ) - 100.0% [US]
+ 1. Seedcorn beetle                (Stenolophus lecontei     ) - 100.0% [Midwest USA]
+ 2. Seedcorn maggot                (Delia platura            ) - 100.0% [Midwest USA]
+ 3. Hop Vine Borer                 (Hydraecia immanis        ) - 100.0% [Midwest USA]
+ 4. Barnyardgrass                  (Echinochloa crus-galli   ) - 100.0% [Midwest USA]
+ 5. common Cocklebur               (Xanthium strumarium      ) - 100.0% [Midwest USA]
+ 6. common Lambsquarters           (Chenopodium album        ) - 100.0% [Midwest USA]
+ 7. CommonWaterhemp                (Amaranthus tuberculatus  ) - 100.0% [Midwest USA]
+ 8. Gaint ragweed                  (Ambrosia trifida         ) - 100.0% [Midwest USA]
+ 9. Henbit (deadnettle)            (Lamium amplexicaule      ) - 100.0% [Midwest USA]
+10. Jimsonweed                     (Datura stramonium        ) - 100.0% [Midwest USA]
 
 6. BOTTOM 10 SPECIES BY ACCURACY
 ----------------------------------------
- 1. Annual ryegrass                (lolium multiflorum       ) -  40.0% [US]
- 2. Spotted fireworm               (choristoneura parallela  ) -  44.0% [US]
+ 1. Annual ryegrass                (Lolium multiflorum       ) -  40.0% [Midwest USA]
+ 2. Spotted fireworm               (Choristoneura parallela  ) -  44.0% [Midwest USA]
  3. Cowpea aphid                   (Aphis craccivora         ) -  59.0% [Africa]
  4. Cowpea aphid                   (Aphis craccivora         ) -  59.0% [India]
  5. Spiraea Aphid                  (Aphis spiraecola         ) -  67.0% [Africa]
  6. Spiraea Aphid                  (Aphis spiraecola         ) -  67.0% [India]
- 7. alfalfa weevil                 (hypera postica           ) -  73.0% [US]
- 8. twospotted spider mite         (tetranychus urticae      ) -  73.0% [US]
+ 7. alfalfa weevil                 (Hypera postica           ) -  73.0% [Midwest USA]
+ 8. twospotted spider mite         (Tetranychus urticae      ) -  73.0% [Midwest USA]
  9. Corn ear borer                 (Helicoverpa armigera     ) -  74.0% [Africa]
 10. Corn ear borer                 (Helicoverpa armigera     ) -  74.0% [India]
 
 7. SPECIES OVERLAP ACROSS REGIONS
 ----------------------------------------
-US & Africa:      2 species
+Midwest USA & Africa:      2 species
   - amaranthus tuberculatus
   - cyperus esculentus
 
-US & India:       1 species
+Midwest USA & India:       1 species
   - spodoptera frugiperda
 
 Africa & India:   10 species

species-organized/species_table.tex

@@ -43,7 +43,8 @@ Africa & \textit{Amaranthus viridis} & Green Amaranth & weed & 95.0 & Yes \\
 Africa & \textit{Cyperus entrerianus} & Deeproot Sedge & weed & 95.0 & Yes \\
 Africa & \textit{Cyperus esculentus} & Yellow nutsedge & weed & 95.0 & Yes \\
 Africa & \textit{Cyperus haspan} & Haspan flatsedge & weed & 95.0 & Yes \\
-Africa & \textit{Cyperus iria L.} & Rice flatsedge & weed & 90.0 & Yes \\
+Africa & \textit{Medicago polymorpha} & Burr Medic & weed & 95.0 & Yes \\
+Africa & \textit{Cyperus iria l.} & Rice flatsedge & weed & 90.0 & Yes \\
 Africa & \textit{Cyperus rotundus} & Purple Nutsedge & weed & 90.0 & Yes \\
 Africa & \textit{Medicago minima} & Little Bur-clover & weed & 90.0 & Yes \\
 Africa & \textit{Cyperus prolifer} & Dwarf papyrus & weed & 80.0 & Yes \\
@@ -54,9 +55,8 @@ Africa & \textit{Cyperus mindorensis} & nan & weed & 100.0 & Yes \\
 Africa & \textit{Cleome houtteana} & Spider flower & weed & 100.0 & Yes \\
 Africa & \textit{Medicago falcata} & Yellow alfalfa & weed & 100.0 & Yes \\
 Africa & \textit{Medicago lupulina} & Black Medick & weed & 100.0 & Yes \\
-Africa & \textit{Medicago polymorpha} & Burr Medic & — & 95.0 & Yes \\
-Africa & \textit{Striga asiatica} & Witch weed & — & 100.0 & Yes \\
-India & \textit{Spodoptera frugiperda} & Fall Armyworm & insect & — & No \\
+Africa & \textit{Striga asiatica} & Witch weed & weed & 100.0 & Yes \\
+India & \textit{Spodoptera frugiperda} & Fall Armyworm & insect & — & Yes \\
 India & \textit{Halyomorpha halys} & Brown Marmorated Stink Bug & insect & 95.0 & Yes \\
 India & \textit{Nezara viridula} & Green stink bug & insect & 88.0 & Yes \\
 India & \textit{Drosophila suzukii} & Spotted-winged Drosophila & insect & 86.0 & Yes \\
@@ -67,85 +67,85 @@ India & \textit{Euborellia annulipes} & Ring-legged Earwig & insect & 79.0 & Yes
 India & \textit{Helicoverpa armigera} & Corn ear borer & insect & 74.0 & Yes \\
 India & \textit{Aphis spiraecola} & Spiraea Aphid & insect & 67.0 & Yes \\
 India & \textit{Aphis craccivora} & Cowpea aphid & insect & 59.0 & Yes \\
-US & \textit{chaetocnema pulicaria} & corn flea beetle & insect & — & No \\
-US & \textit{hypera zoilus} & clover leaf weevil & insect & — & No \\
-US & \textit{agromyza frontella} & alfalfa blotch leafminer & insect & — & No \\
-US & \textit{resseliella maxima} & soybean gall midge & insect & — & No \\
-US & \textit{aphis glycines} & soybean aphid & insect & — & No \\
-US & \textit{Damsel bugs} & Damsel bugs & insect & — & No \\
-US & \textit{Flower fly larvae} & Flower fly larvae & insect & — & No \\
-US & \textit{Ground beetles} & Ground beetles & insect & — & No \\
-US & \textit{Lacewings} & Lacewings & insect & — & No \\
-US & \textit{Lady beetles} & Lady beetles & insect & — & No \\
-US & \textit{Parasitoid wasps} & Parasitoid wasps & insect & — & No \\
-US & \textit{Pirate bugs} & Pirate bugs & insect & — & No \\
-US & \textit{Soldier beetles} & Soldier beetles & insect & — & No \\
-US & \textit{Podisus maculiventris} & Spined soldier bug & insect & — & No \\
-US & \textit{Tachinid flies} & Tachinid flies & insect & — & No \\
-US & \textit{empoasca fabae} & potato leafhopper & insect & 97.0 & No \\
-US & \textit{striacosta albicosta} & western bean cutworm & insect & 97.0 & No \\
-US & \textit{hypena scabra} & green cloverworm & insect & 96.0 & No \\
-US & \textit{agrotis ipsilon} & black cutworm & insect & 95.0 & No \\
-US & \textit{vanessa cardui} & painted lady & insect & 95.0 & No \\
-US & \textit{popillia japonica} & Japanese beetle & insect & 94.0 & No \\
-US & \textit{mythimna unipuncta} & armyworm & insect & 94.0 & No \\
-US & \textit{lygus lineolaris} & tarnished plant bug & insect & 92.0 & No \\
-US & \textit{colias eurytheme} & alfalfa caterpillar & insect & 91.0 & No \\
-US & \textit{microtechnites bractatus} & garden fleahopper & insect & 90.0 & No \\
-US & \textit{papaipema nebris} & stalk borer & insect & 90.0 & No \\
-US & \textit{sitona hispidulus} & clover root curculio & insect & 89.0 & No \\
-US & \textit{philaenus spumarius} & meadow spittlebug & insect & 89.0 & No \\
-US & \textit{dectes texanus} & dectes stem borer & insect & 88.0 & No \\
-US & \textit{ostrinia nubilalis} & European corn borer & insect & 88.0 & No \\
-US & \textit{cerotoma trifurcata} & bean leaf beetle & insect & 87.0 & No \\
-US & \textit{helicoverpa zea} & Tomato fruitworm & insect & 87.0 & No \\
-US & \textit{spodoptera ornithogalli} & yellowstriped armyworm & insect & 86.0 & No \\
-US & \textit{chrysodeixis includens} & soybean looper & insect & 83.0 & No \\
-US & \textit{spodoptera frugiperda} & fall armyworm & insect & 80.0 & No \\
-US & \textit{calomycterus setarius} & imported longhorned weevil & insect & 79.0 & No \\
-US & \textit{loxostege cereralis} & alfalfa webworm & insect & 79.0 & No \\
-US & \textit{odontota horni} & Soybean leaf miner & insect & 75.0 & No \\
-US & \textit{hypera postica} & alfalfa weevil & insect & 73.0 & No \\
-US & \textit{tetranychus urticae} & twospotted spider mite & insect & 73.0 & No \\
-US & \textit{choristoneura parallela} & Spotted fireworm & insect & 44.0 & No \\
-US & \textit{stenolophus lecontei} & Seedcorn beetle & insect & 100.0 & No \\
-US & \textit{delia platura} & Seedcorn maggot & insect & 100.0 & No \\
-US & \textit{hydraecia immanis} & Hop Vine Borer & insect & 100.0 & No \\
-US & \textit{solanum ptycanthum} & Eastern black nightshade & weed & — & No \\
-US & \textit{conyza canadensis} & Horseweed & weed & — & No \\
-US & \textit{kochia scoparia} & Kochia & weed & — & No \\
-US & \textit{sinapis arvensis} & Wild mustard & weed & — & No \\
-US & \textit{ambrosia artemisiifolia} & common Ragweed & weed & 95.0 & No \\
-US & \textit{stellaria media} & commonChickweed & weed & 95.0 & No \\
-US & \textit{equisetum arvense} & Field Horsetail & weed & 95.0 & No \\
-US & \textit{digitaria sanguinalis} & Large crabgrass & weed & 95.0 & No \\
-US & \textit{sida spinosa} & Prickly sida & weed & 95.0 & No \\
-US & \textit{cyperus esculentus} & yellow Nutsedge & weed & 95.0 & No \\
-US & \textit{helianthus annuus} & Common Sunflower & weed & 90.0 & No \\
-US & \textit{bromus tectorum} & Downy brome & weed & 90.0 & No \\
-US & \textit{setaria viridis} & Green foxtail & weed & 90.0 & No \\
-US & \textit{euphorbia dentata} & Toothed spurge & weed & 90.0 & No \\
-US & \textit{mirabilis nyctaginea} & wild Four-o’clock & weed & 90.0 & No \\
-US & \textit{setaria faberi} & Giant foxtail & weed & 85.0 & No \\
-US & \textit{eleusine indica} & Goosegrass & weed & 85.0 & No \\
-US & \textit{salsola tragus} & Russian thistle & weed & 85.0 & No \\
-US & \textit{sorghum bicolor} & Shattercane & weed & 85.0 & No \\
-US & \textit{setaria pumila} & Yellow foxtail & weed & 85.0 & No \\
-US & \textit{persicaria pensylvanica} & Pennsylvania smartweed & weed & 80.0 & No \\
-US & \textit{amaranthus palmeri} & Palmer amaranth & weed & 75.0 & No \\
-US & \textit{lolium multiflorum} & Annual ryegrass & weed & 40.0 & No \\
-US & \textit{echinochloa crus-galli} & Barnyardgrass & weed & 100.0 & No \\
-US & \textit{xanthium strumarium} & common Cocklebur & weed & 100.0 & No \\
-US & \textit{chenopodium album} & common Lambsquarters & weed & 100.0 & No \\
-US & \textit{amaranthus tuberculatus} & CommonWaterhemp & weed & 100.0 & No \\
-US & \textit{ambrosia trifida} & Gaint ragweed & weed & 100.0 & No \\
-US & \textit{lamium amplexicaule} & Henbit (deadnettle) & weed & 100.0 & No \\
-US & \textit{datura stramonium} & Jimsonweed & weed & 100.0 & No \\
-US & \textit{lactuca serriola} & Prickly lettuce & weed & 100.0 & No \\
-US & \textit{amaranthus retroflexus} & Redroot pigweed & weed & 100.0 & No \\
-US & \textit{equisetum hyemale} & Scouringrush & weed & 100.0 & No \\
-US & \textit{capsella bursa-pastoris} & Shepherd’s purse & weed & 100.0 & No \\
-US & \textit{abutilon theophrasti} & Velvetleaf & weed & 100.0 & No \\
-US & \textit{daucus carota} & Wild Carrot & weed & 100.0 & No \\
+Midwest USA & \textit{Chaetocnema pulicaria} & corn flea beetle & insect & — & No \\
+Midwest USA & \textit{Hypera zoilus} & clover leaf weevil & insect & — & No \\
+Midwest USA & \textit{Agromyza frontella} & alfalfa blotch leafminer & insect & — & No \\
+Midwest USA & \textit{Resseliella maxima} & soybean gall midge & insect & — & No \\
+Midwest USA & \textit{Aphis glycines} & soybean aphid & insect & — & No \\
+Midwest USA & \textit{Damsel bugs} & Damsel bugs & insect & — & No \\
+Midwest USA & \textit{Flower fly larvae} & Flower fly larvae & insect & — & No \\
+Midwest USA & \textit{Ground beetles} & Ground beetles & insect & — & No \\
+Midwest USA & \textit{Lacewings} & Lacewings & insect & — & No \\
+Midwest USA & \textit{Lady beetles} & Lady beetles & insect & — & No \\
+Midwest USA & \textit{Parasitoid wasps} & Parasitoid wasps & insect & — & No \\
+Midwest USA & \textit{Pirate bugs} & Pirate bugs & insect & — & No \\
+Midwest USA & \textit{Soldier beetles} & Soldier beetles & insect & — & No \\
+Midwest USA & \textit{Podisus maculiventris} & Spined soldier bug & insect & — & No \\
+Midwest USA & \textit{Tachinid flies} & Tachinid flies & insect & — & No \\
+Midwest USA & \textit{Empoasca fabae} & potato leafhopper & insect & 97.0 & No \\
+Midwest USA & \textit{Striacosta albicosta} & western bean cutworm & insect & 97.0 & No \\
+Midwest USA & \textit{Hypena scabra} & green cloverworm & insect & 96.0 & No \\
+Midwest USA & \textit{Agrotis ipsilon} & black cutworm & insect & 95.0 & No \\
+Midwest USA & \textit{Vanessa cardui} & painted lady & insect & 95.0 & No \\
+Midwest USA & \textit{Popillia japonica} & Japanese beetle & insect & 94.0 & No \\
+Midwest USA & \textit{Mythimna unipuncta} & armyworm & insect & 94.0 & No \\
+Midwest USA & \textit{Lygus lineolaris} & tarnished plant bug & insect & 92.0 & No \\
+Midwest USA & \textit{Colias eurytheme} & alfalfa caterpillar & insect & 91.0 & No \\
+Midwest USA & \textit{Microtechnites bractatus} & garden fleahopper & insect & 90.0 & No \\
+Midwest USA & \textit{Papaipema nebris} & stalk borer & insect & 90.0 & No \\
+Midwest USA & \textit{Sitona hispidulus} & clover root curculio & insect & 89.0 & No \\
+Midwest USA & \textit{Philaenus spumarius} & meadow spittlebug & insect & 89.0 & No \\
+Midwest USA & \textit{Dectes texanus} & dectes stem borer & insect & 88.0 & No \\
+Midwest USA & \textit{Ostrinia nubilalis} & European corn borer & insect & 88.0 & No \\
+Midwest USA & \textit{Cerotoma trifurcata} & bean leaf beetle & insect & 87.0 & No \\
+Midwest USA & \textit{Helicoverpa zea} & Tomato fruitworm & insect & 87.0 & No \\
+Midwest USA & \textit{Spodoptera ornithogalli} & yellowstriped armyworm & insect & 86.0 & No \\
+Midwest USA & \textit{Chrysodeixis includens} & soybean looper & insect & 83.0 & No \\
+Midwest USA & \textit{Spodoptera frugiperda} & fall armyworm & insect & 80.0 & No \\
+Midwest USA & \textit{Calomycterus setarius} & imported longhorned weevil & insect & 79.0 & No \\
+Midwest USA & \textit{Loxostege cereralis} & alfalfa webworm & insect & 79.0 & No \\
+Midwest USA & \textit{Odontota horni} & Soybean leaf miner & insect & 75.0 & No \\
+Midwest USA & \textit{Hypera postica} & alfalfa weevil & insect & 73.0 & No \\
+Midwest USA & \textit{Tetranychus urticae} & twospotted spider mite & insect & 73.0 & No \\
+Midwest USA & \textit{Choristoneura parallela} & Spotted fireworm & insect & 44.0 & No \\
+Midwest USA & \textit{Stenolophus lecontei} & Seedcorn beetle & insect & 100.0 & No \\
+Midwest USA & \textit{Delia platura} & Seedcorn maggot & insect & 100.0 & No \\
+Midwest USA & \textit{Hydraecia immanis} & Hop Vine Borer & insect & 100.0 & No \\
+Midwest USA & \textit{Solanum ptycanthum} & Eastern black nightshade & weed & — & No \\
+Midwest USA & \textit{Conyza canadensis} & Horseweed & weed & — & No \\
+Midwest USA & \textit{Kochia scoparia} & Kochia & weed & — & No \\
+Midwest USA & \textit{Sinapis arvensis} & Wild mustard & weed & — & No \\
+Midwest USA & \textit{Ambrosia artemisiifolia} & common Ragweed & weed & 95.0 & No \\
+Midwest USA & \textit{Stellaria media} & commonChickweed & weed & 95.0 & No \\
+Midwest USA & \textit{Equisetum arvense} & Field Horsetail & weed & 95.0 & No \\
+Midwest USA & \textit{Digitaria sanguinalis} & Large crabgrass & weed & 95.0 & No \\
+Midwest USA & \textit{Sida spinosa} & Prickly sida & weed & 95.0 & No \\
+Midwest USA & \textit{Cyperus esculentus} & yellow Nutsedge & weed & 95.0 & No \\
+Midwest USA & \textit{Helianthus annuus} & Common Sunflower & weed & 90.0 & No \\
+Midwest USA & \textit{Bromus tectorum} & Downy brome & weed & 90.0 & No \\
+Midwest USA & \textit{Setaria viridis} & Green foxtail & weed & 90.0 & No \\
+Midwest USA & \textit{Euphorbia dentata} & Toothed spurge & weed & 90.0 & No \\
+Midwest USA & \textit{Mirabilis nyctaginea} & wild Four-o’clock & weed & 90.0 & No \\
+Midwest USA & \textit{Setaria faberi} & Giant foxtail & weed & 85.0 & No \\
+Midwest USA & \textit{Eleusine indica} & Goosegrass & weed & 85.0 & No \\
+Midwest USA & \textit{Salsola tragus} & Russian thistle & weed & 85.0 & No \\
+Midwest USA & \textit{Sorghum bicolor} & Shattercane & weed & 85.0 & No \\
+Midwest USA & \textit{Setaria pumila} & Yellow foxtail & weed & 85.0 & No \\
+Midwest USA & \textit{Persicaria pensylvanica} & Pennsylvania smartweed & weed & 80.0 & No \\
+Midwest USA & \textit{Amaranthus palmeri} & Palmer amaranth & weed & 75.0 & No \\
+Midwest USA & \textit{Lolium multiflorum} & Annual ryegrass & weed & 40.0 & No \\
+Midwest USA & \textit{Echinochloa crus-galli} & Barnyardgrass & weed & 100.0 & No \\
+Midwest USA & \textit{Xanthium strumarium} & common Cocklebur & weed & 100.0 & No \\
+Midwest USA & \textit{Chenopodium album} & common Lambsquarters & weed & 100.0 & No \\
+Midwest USA & \textit{Amaranthus tuberculatus} & CommonWaterhemp & weed & 100.0 & No \\
+Midwest USA & \textit{Ambrosia trifida} & Gaint ragweed & weed & 100.0 & No \\
+Midwest USA & \textit{Lamium amplexicaule} & Henbit (deadnettle) & weed & 100.0 & No \\
+Midwest USA & \textit{Datura stramonium} & Jimsonweed & weed & 100.0 & No \\
+Midwest USA & \textit{Lactuca serriola} & Prickly lettuce & weed & 100.0 & No \\
+Midwest USA & \textit{Amaranthus retroflexus} & Redroot pigweed & weed & 100.0 & No \\
+Midwest USA & \textit{Equisetum hyemale} & Scouringrush & weed & 100.0 & No \\
+Midwest USA & \textit{Capsella bursa-pastoris} & Shepherd’s purse & weed & 100.0 & No \\
+Midwest USA & \textit{Abutilon theophrasti} & Velvetleaf & weed & 100.0 & No \\
+Midwest USA & \textit{Daucus carota} & Wild Carrot & weed & 100.0 & No \\
 
 \end{longtable}