Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Kamlesh Golhani"'
Autor:
Dilip Jat, Kamlesh Golhani, N. S. Chandel, Yogesh Anand Rajwade, Kumkum Dubey, Prem Shankar Tiwari
Publikováno v:
Irrigation and Drainage. 70:321-331
Publikováno v:
International Journal of Remote Sensing. 40:7647-7662
© 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group. Orange Spotting (OS) is an emerging disease in oil palm (Elaeis guineensis Jacq) that has been associated with Coconut cadang-cadang viroid (CCCVd; Cocadviroid, Pospiviroidae). T
Publikováno v:
Sustainability in Plant and Crop Protection ISBN: 9783030359546
Plant diseases contribute 10–16% losses in global harvests each year, costing an estimated US$ 220 billion. Abundant use of chemicals such as bactericides, fungicides, and nematicides to control plant diseases are causing adverse effects to many ag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7981f631230d72e1b2e8285d4752d5de
https://doi.org/10.1007/978-3-030-35955-3_13
https://doi.org/10.1007/978-3-030-35955-3_13
Publikováno v:
Information Processing in Agriculture. 5:354-371
© 2018 China Agricultural University This paper reviews advanced Neural Network (NN) techniques available to process hyperspectral data, with a special emphasis on plant disease detection. Firstly, we provide a review on NN mechanism, types, models,
© 2019, Indian Society of Remote Sensing. Spectral screening can play an important role in successful detection of viroid-infected oil palm seedlings from nursery stage prior to transplanting into the field. Coconut cadang–cadang viroid (CCCVd) is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e4cc87d2afdea50bbce7cafba42d843
https://hdl.handle.net/10453/130792
https://hdl.handle.net/10453/130792
Autor:
Hema Tripathi, B. B. Gaikwad, N. S. Chandel, Kamlesh Golhani, P.S. Tiwari, Dilip Jat, K. P. Singh
Publikováno v:
Current Science. 116:272
Publikováno v:
Climate Change Modelling, Planning and Policy for Agriculture ISBN: 9788132221562
Geographic information system (GIS) is used for location-based analysis and decision-making. GIS professionals in agriculture typically employ it to examine selected geographic datasets in detail, viz., land use and land cover (LULC), soil data, weat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4514db8ea27b86a12c09c86a7b69301
https://doi.org/10.1007/978-81-322-2157-9_10
https://doi.org/10.1007/978-81-322-2157-9_10
Publikováno v:
Climate Change Modelling, Planning & Policy for Agriculture; 2015, p87-91, 5p
Autor:
Chandel, Narendra Singh, Rajwade, Yogesh Anand, Golhani, Kamlesh, Tiwari, Prem Shankar, Dubey, Kumkum, Jat, Dilip
Publikováno v:
Irrigation & Drainage; Apr2021, Vol. 70 Issue 2, p321-331, 11p
Publikováno v:
International Journal of Remote Sensing; Oct2019, Vol. 40 Issue 19, p7647-7662, 16p, 1 Diagram, 3 Charts, 4 Graphs