Shankarappa Sridhara

11PUBLICATIONS
14CO-AUTHORS
Reinforcement learningAgro-ecosystem function and predictionPlant pathologyEpigenetics (incl. genome methylation and epigenomics)Crop and pasture improvement (incl. selection and breeding)
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Publications (11)

|May 01, 2024
Correction to: Machine learning ensembles, neural network, hybrid and sparse regression approaches for weather based rainfed cotton yield forecast.

Girish R Kashyap, Shankarappa Sridhara, Konapura Nagaraja Manoj

|Apr 27, 2024
Machine learning ensembles, neural network, hybrid and sparse regression approaches for weather based rainfed cotton yield forecast.

Girish R Kashyap, Shankarappa Sridhara, Konapura Nagaraja Manoj

|Jun 10, 2023
Identification of Potential Phytochemical/Antimicrobial Agents against Pseudoperonospora cubensis Causing Downy Mildew in Cucumber through In-Silico Docking.

Nagaraju Jhansirani, Venkatappa Devappa, Chittarada Gopal Sangeetha

|Dec 22, 2022
Molecular Characterization and Genetic Variation in Ceratocystis fimbriata Ell. and Halst. on Pomegranate

Navyashree Sailapura Erakyathappa, Devappa Venkatappa, Sangeetha Chittarada Gopal

|Nov 03, 2022
Evaluation of machine learning approaches for prediction of pigeon pea yield based on weather parameters in India.

Shankarappa Sridhara, Konapura Nagaraja Manoj, Pradeep Gopakkali

|Sep 22, 2022
Control Efficiency and Yield Response of Chemical and Biological Treatments against Fruit Rot of Arecanut: A Network Meta-Analysis.

Balanagouda Patil, Shankarappa Sridhara, Hanumappa Narayanaswamy

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