Skawsang, S.; Nagai, M.; K. Tripathi, N.; Soni, P.
Predicting Rice Pest Population Occurrence with Satellite-Derived Crop Phenology, Ground Meteorological Observation, and Machine Learning: A Case Study for the Central Plain of Thailand. Appl. Sci. 2019, 9, 4846.
https://doi.org/10.3390/app9224846
AMA Style
Skawsang S, Nagai M, K. Tripathi N, Soni P.
Predicting Rice Pest Population Occurrence with Satellite-Derived Crop Phenology, Ground Meteorological Observation, and Machine Learning: A Case Study for the Central Plain of Thailand. Applied Sciences. 2019; 9(22):4846.
https://doi.org/10.3390/app9224846
Chicago/Turabian Style
Skawsang, Sukij, Masahiko Nagai, Nitin K. Tripathi, and Peeyush Soni.
2019. "Predicting Rice Pest Population Occurrence with Satellite-Derived Crop Phenology, Ground Meteorological Observation, and Machine Learning: A Case Study for the Central Plain of Thailand" Applied Sciences 9, no. 22: 4846.
https://doi.org/10.3390/app9224846
APA Style
Skawsang, S., Nagai, M., K. Tripathi, N., & Soni, P.
(2019). Predicting Rice Pest Population Occurrence with Satellite-Derived Crop Phenology, Ground Meteorological Observation, and Machine Learning: A Case Study for the Central Plain of Thailand. Applied Sciences, 9(22), 4846.
https://doi.org/10.3390/app9224846