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Crop Challenge
December 2015
About Syngenta
• November 13: On November 13, 2000
Novartis and AstraZeneca merge their
agribusinesses to form Syngenta, the first
global group focusing exclusively on
agribusiness.
Syngenta
• "Syn" stems from Greek. It reflects synergy
and synthesis.
• "Genta" relates to humanity and individuals.
It stems from the Latin "gens," for people or
community.
• So Syngenta means "bringing people
together."
Soybeans
Soybeans are about 18% oil and 38% protein. soybeans are high
in protein, they are a major ingredient in livestock feed. A
smaller percentage is processed for human consumption and
made into products including soy milk, soy flour, soy protein,
tofu and many retail food products.
Researchers in the seed industry focus on developing new
soybean varieties with outstanding characteristics including high
yield, lodging resistance, nematode resistance, herbicide
tolerance, and many other desirable characteristics.
http://ncsoy.org/media-resources/uses-of-soybeans/
Predicting Yield of Soybeans
1. Training Data. It describes the current knowledge on how soybean varieties available to the farmer
perform in a variety of seasonal and soil conditions. It is based on 37,000 yield data points from
research trials. The trials involve 209 seed varieties, evaluated in 370 site year scenarios between 2008
and 2014.
1.1. The dataset is unbalanced. Not all seed varieties are tested in all soil and weather types.
2. Optional Training Data. An optional training dataset contains daily weather information for the
corresponding trials site and year. It has temporal resolution of one day and a spatial resolution of 1
km. This dataset can be linked to the main training dataset by location and year.
3. Evaluation Data. This represents the long term knowledge the farmer has about his farm consisting
of a single location site. This is the farm where your choice of seed (or proportion of different seeds)
will be planted. The data includes the same environmental attributes as the training data, but no yield
data.
4. Optional Evaluation Data. An optional dataset for the evaluation farm contains daily weather
information from January 1st of 2000 until December 31st 2014. It has a spatial resolution 1 km. This
dataset can be linked to the main training dataset by location and year.
Using SPSS Modeler: GLM
Sample R Script (using RandomForest)
library(randomForest)
setwd("C:/Users/IBM_ADMIN/Desktop/syngenta")
general_train <- read.csv("C:/Users/IBM_ADMIN/Desktop/syngenta/general_train.csv")
test <- read.csv("C:/Users/IBM_ADMIN/Desktop/syngenta/test.csv")
head(general_train)
head(test)
df<-randomForest(SITE_YIELD~LAT+ LONG_+ AREA+ RM_25+ TOT_IRR_DE+
SOIL_CUBE+TEMP_08+ TEMP_09+ TEMP_10+ TEMP_11+ TEMP_12+ TEMP_13+ TEMP_14+
TEMP_MED+PREC_08+ PREC_09+ PREC_10+ PREC_11+ PREC_12+ PREC_13+ PREC_14+
PREC_MED+RAD_08+ RAD_09+ RAD_10+ RAD_11+ RAD_12+ RAD_13+ RAD_14+
RAD_MED+ SY_DENS+ SY_ACRES+ CONUS_PH+CONUS_AWC+ CONUS_CLAY+
CONUS_SILT+ CONUS_SAND+ ISRIC_SAND+ ISRIC_SILT+ ISRIC_CLAY+
ISRIC_PH+ ISRIC_CEC+ EXTRACT_CE,
data=general_train, importance=TRUE, ntree=50,na.action=na.omit,sampsize=10000, do.trace = TRUE)
pred <- predict(df, test)
submission <- data.frame(Id=test$SEASON, yield=pred)
cat("saving the submission filen")
write.csv(submission, "rf2.csv")
Syngenta Phils, Inc
12/F Two World Square
22 Upper McKinley Rd
McKinley Town Center
Fort Bonifacio, 1630 Taguig City
Phone +63 (2) 370 2100
Fax +63 (2) 8569262 /8569260

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Crop Challenge_2015

  • 2. About Syngenta • November 13: On November 13, 2000 Novartis and AstraZeneca merge their agribusinesses to form Syngenta, the first global group focusing exclusively on agribusiness.
  • 3. Syngenta • "Syn" stems from Greek. It reflects synergy and synthesis. • "Genta" relates to humanity and individuals. It stems from the Latin "gens," for people or community. • So Syngenta means "bringing people together."
  • 4. Soybeans Soybeans are about 18% oil and 38% protein. soybeans are high in protein, they are a major ingredient in livestock feed. A smaller percentage is processed for human consumption and made into products including soy milk, soy flour, soy protein, tofu and many retail food products. Researchers in the seed industry focus on developing new soybean varieties with outstanding characteristics including high yield, lodging resistance, nematode resistance, herbicide tolerance, and many other desirable characteristics. http://ncsoy.org/media-resources/uses-of-soybeans/
  • 5. Predicting Yield of Soybeans 1. Training Data. It describes the current knowledge on how soybean varieties available to the farmer perform in a variety of seasonal and soil conditions. It is based on 37,000 yield data points from research trials. The trials involve 209 seed varieties, evaluated in 370 site year scenarios between 2008 and 2014. 1.1. The dataset is unbalanced. Not all seed varieties are tested in all soil and weather types. 2. Optional Training Data. An optional training dataset contains daily weather information for the corresponding trials site and year. It has temporal resolution of one day and a spatial resolution of 1 km. This dataset can be linked to the main training dataset by location and year. 3. Evaluation Data. This represents the long term knowledge the farmer has about his farm consisting of a single location site. This is the farm where your choice of seed (or proportion of different seeds) will be planted. The data includes the same environmental attributes as the training data, but no yield data. 4. Optional Evaluation Data. An optional dataset for the evaluation farm contains daily weather information from January 1st of 2000 until December 31st 2014. It has a spatial resolution 1 km. This dataset can be linked to the main training dataset by location and year.
  • 7. Sample R Script (using RandomForest) library(randomForest) setwd("C:/Users/IBM_ADMIN/Desktop/syngenta") general_train <- read.csv("C:/Users/IBM_ADMIN/Desktop/syngenta/general_train.csv") test <- read.csv("C:/Users/IBM_ADMIN/Desktop/syngenta/test.csv") head(general_train) head(test) df<-randomForest(SITE_YIELD~LAT+ LONG_+ AREA+ RM_25+ TOT_IRR_DE+ SOIL_CUBE+TEMP_08+ TEMP_09+ TEMP_10+ TEMP_11+ TEMP_12+ TEMP_13+ TEMP_14+ TEMP_MED+PREC_08+ PREC_09+ PREC_10+ PREC_11+ PREC_12+ PREC_13+ PREC_14+ PREC_MED+RAD_08+ RAD_09+ RAD_10+ RAD_11+ RAD_12+ RAD_13+ RAD_14+ RAD_MED+ SY_DENS+ SY_ACRES+ CONUS_PH+CONUS_AWC+ CONUS_CLAY+ CONUS_SILT+ CONUS_SAND+ ISRIC_SAND+ ISRIC_SILT+ ISRIC_CLAY+ ISRIC_PH+ ISRIC_CEC+ EXTRACT_CE, data=general_train, importance=TRUE, ntree=50,na.action=na.omit,sampsize=10000, do.trace = TRUE) pred <- predict(df, test) submission <- data.frame(Id=test$SEASON, yield=pred) cat("saving the submission filen") write.csv(submission, "rf2.csv")
  • 8. Syngenta Phils, Inc 12/F Two World Square 22 Upper McKinley Rd McKinley Town Center Fort Bonifacio, 1630 Taguig City Phone +63 (2) 370 2100 Fax +63 (2) 8569262 /8569260