| A review of the Artificial Intelligence (AI) based techniques for estimating reference evapotranspiration: Current trends and future perspectives P Goyal, S Kumar, R Sharda Computers and Electronics in Agriculture 209, 107836, 2023 | 28 | 2023 |
| A deep learning approach for early detection of drought stress in maize using proximal scale digital images P Goyal, R Sharda, M Saini, M Siag Neural Computing and Applications 36 (4), 1899-1913, 2024 | 8 | 2024 |
| Development of an IoT based weighing type micro-lysimeter for soilless cultivation P Goyal, R Sharda, M Siag, KG Singh Indian Journal of Agricultural Sciences 90 (10), 1980-7, 2020 | 2 | 2020 |
| Reference Evapotranspiration Modelling Using Artificial Neural Networks Under Scenarios of Limited Weather Data: A Case Study in the Malwa Region of Punjab S Kumar, R Sharda, P Goyal, M Siag, P Kaur Environmental Modeling & Assessment 29 (3), 589-620, 2024 | 1 | 2024 |
| AI approaches for estimation of reference evapotranspiration-A review S Kumar, P Goyal, R Sharda VIRTUAL NATIONAL CONFERENCE on STRATEGIC REORIENTATION FOR CLIMATE SMART …, 2021 | 1 | 2021 |
| Influence of Climate Change Scenario on the Existing Water Resources and Its Mitigation Strategies R Aggarwal, AK Vashisht, P Goyal, N Kaur Recent Advancements in Sustainable Agricultural Practices: Harnessing …, 2024 | | 2024 |
| Development of the crop coefficient for vertically trained cucumber vines grown in soilless media under naturally ventilated greenhouse conditions P Goyal, R Sharda, M Siag, N Biwalkar Irrigation and Drainage 72 (2), 377-389, 2023 | | 2023 |
| Development of crop coefficient curve for greenhouse cucumber grown in soilless media P Goyal Punjab Agricultural University, Ludhiana, 2018 | | 2018 |
