2022
DOI: 10.14569/ijacsa.2022.0130184
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Cotton Crop Yield Prediction using Data Mining Technique

Abstract: Cotton is a very important crop, as India leads it in terms of production in the world; and also that a vast number of manpower is engaged in farming as well as post-harvest processing and management of different derivatives of it. Weather is crucial for the productivity of the crop. The challenges of climate change; availability of limited land and water for farming; lake of knowledge for good cultivation practices and judicious use of agricultural inputs with farmers are critical hindrances for improving pro… Show more

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Cited by 3 publications
(3 citation statements)
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“…5 F-Measure (F m ): It checks the accuracy. 3 (P) = (T p ) / (F p + T p ) 4 (R) = (T p ) / (Fn + T p ) 5 (F m ) = (2 * Recall * Precision) / (Recall + Precision) F p : False Positive-The patient is not having this disease and is diagnosed positive.…”
Section: Results and Analysismentioning
confidence: 99%
“…5 F-Measure (F m ): It checks the accuracy. 3 (P) = (T p ) / (F p + T p ) 4 (R) = (T p ) / (Fn + T p ) 5 (F m ) = (2 * Recall * Precision) / (Recall + Precision) F p : False Positive-The patient is not having this disease and is diagnosed positive.…”
Section: Results and Analysismentioning
confidence: 99%
“…Maximum information-gain-based separation is used. [28] Algorithms that are employed to find different methods to divide an array of data into sections create decision trees. These sections Create a decision tree in reverse.…”
Section: Decision Treementioning
confidence: 99%
“…Most research studies using this dataset reduce the target classes to two (absence or presence of CAD). The works (Patel et al, 2016) and (Amen et al, 2020) perform a five stage CAD prediction.…”
Section: Literature Review: Datamining Techniques For Cad Predictionmentioning
confidence: 99%