Untangling the effect of soil quality on rice productivity under a 16-years long-term fertilizer experiment using conditional random forest

In a 16-years long-term fertilizer experiment, an in-depth study was carried out to evaluate the changes in soil physical, chemical, and biological properties under long-term fertilizer application and establish cause and effect relationship between soil properties and rice productivity using interp...

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Autores principales:	Garnaik, Saheed, Samant, Prasanna Kumar, Mandal, Mitali, Mohanty, Tushar Ranjan, Dwibedi, Sanat Kumar, Patra, Ranjan Kumar, Mohapatra, Kiran Kumar, Wanjari, Ravi H., Sethi, Debadatta, Sena, Dipaka Ranjan, Sapkota, Tek Bahadur, Nayak, Jagmohan, Patra, Sridhar, Parihar, Chiter Mal, Nayak, Harisankar
Formato:	Journal Article
Lenguaje:	Inglés
Publicado:	Elsevier 2022
Materias:	machine learning parcels soil properties rice fertilizers
Acceso en línea:	https://hdl.handle.net/10568/128392