Intermittent streamflow forecasting and extreme event modelling using wavelet based artificial neural networks JJ Makwana, MK Tiwari Water resources management 28, 4857-4873, 2014 | 76 | 2014 |
Hydrological stream flow modelling using soil and water assessment tool (SWAT) and neural networks (NNs) for the Limkheda watershed, Gujarat, India JJ Makwana, MK Tiwari Modeling Earth Systems and Environment 3, 635-645, 2017 | 36 | 2017 |
Prioritization of agricultural sub-watersheds in semi arid middle region of Gujarat using remote sensing and GIS J Makwana, MK Tiwari Environmental Earth Sciences 75, 1-12, 2016 | 32 | 2016 |
Development and comparison of artificial intelligence models for estimating daily reference evapotranspiration from limited input variables JJ Makwana, MK Tiwari, BS Deora Smart Agricultural Technology 3, 100115, 2023 | 22 | 2023 |
Influence of drip irrigation regimes and lateral spacing on cumin productivity AN Kunapara, R Subbaiah, GV Prajapati, JJ Makwana Current World Environment 11 (1), 333-337, 2016 | 15 | 2016 |
Estimation of runoff for Ozat catchment using RS and GIS based SCS-CN method DB Chavda, JJ Makwana, HV Parmar, AN Kunapara, GV Prajapati Forest 225 (15.99), 15.99, 2016 | 12 | 2016 |
Analysis of rainfall characteristics and moisture availability index for crop planning in semi arid region of north Gujarat JJ Makwana, BS Deora, CK Patel, BS Parmar, AK Saini Journal of Agrometeorology 23 (4), 409-415, 2021 | 7 | 2021 |
Trend analysis in reference evapotranspiration using Mann-Kendall and Spearman's Rho tests in semi arid region of North Gujarat JJ Makwana, BS Deora, BS Parmar, CK Patel Journal of Soil and Water Conservation 19 (2), 170-175, 2020 | 7 | 2020 |
Modelling of Reference Evapotranspiration using Artificial Neural Network in Semi-arid Region of North Gujarat JJ Makwana, BS Deora, BS Parmar, CK Patel, AK Saini Journal of Agricultural Engineering 59 (2), 193-200, 2022 | 6 | 2022 |
Conjunctive stimulus of irrigation regimes frequency and mulching on Bt cotton GV Prajapati, R Subbaiah, NS Vithlani, HY Maheta, JJ Makwana, ... Innovative Farming 3 (2), 51-54, 2018 | 4 | 2018 |
Crop coefficient for mulched cotton under variable irrigation regimes GV Prajapati, R Subbaiah, AN Kunapara, NS Vithlani, JJ Makwana Current World Environment 11 (2), 648-653, 2016 | 2 | 2016 |
Assessment of soft computing techniques for estimating missing temperature data using limited meteorological variables JJ Makwana, BR Patel, AK Saini, MM Chaudhary Journal of Soil and Water Conservation 21 (4), 402-408, 2022 | 1 | 2022 |
Impact assessment of land use and cover changes on water resources using RS and GIS Techniques in watershed area JJ Makwana, MK Tiwari, NK Pampaniya Journal of Soil and Water Conservation 18 (1), 11-21, 2019 | 1 | 2019 |
Determination of Watershed Morphological Parameters using Remote Sensing and GIS J Makwana, MK Tiwari, HY Maheta, GV Prajapati Innov Fmg 3 (3), 127-132, 2018 | 1 | 2018 |
Under organic farming conditions, response of different cow-based enhancer on chickpea and fenugreek MM Chaudhary, CK Patel, JD Bawa, BR Patel, JJ Makwana, FB Patel | | 2023 |
Effective management practices for enhancing castor (Ricinus communis) productivity in dryland agriculture BS Parmar, NI Patel, BR Patel, JJ Makwana, FK Patel Indian Journal of Agronomy 67 (2), 180-185, 2022 | | 2022 |
Weekly Trend Detection in Meteorological Data for Crop Response NS Vithlani, JJ Makwana, GV Prajapati Research Biotica 3 (4), 188-194, 2021 | | 2021 |
Effect of irrigation regimes and fertilizer levels on productivity of drip irrigated cumin (Cuminum cyminum L.). BS Parmar, JJ Makwana, AK Saini, BS Deora | | 2019 |
SOIL AND WATER CONSERVATION IN INDIA: STRATEGIES AND CHALLENGES JJ Makwana Model Training Course on, 105, 0 | | |
EXTREME STREAMFLOW FORECASTING USING ARTIFICIAL NEURAL NETWORKS HY Maheta, HD Rank, JJ Makwana, GV Prajapati | | |