Evaluating statistical and machine learning techniques for sugarcane yield forecasting in the tarai region of North India
Satpathi A; Chand N; Setiya P; Ranjan R; Nain AS; Vishwakarma DK; Kashif; Obaidullah AJ · 2025 · Computers and Electronics in Agriculture.
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Sugarcane holds paramount importance as a key raw material in India's second-largest agro-based industry, particularly in the state of Uttar Pradesh, which boasts the largest sugarcane cultivation area. Amidst unprecedented climate…
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Metadata source: Europe PMC