Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Abhilash K. Chandel"'
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5482 (2024)
Accurate and prompt estimation of geospatial soybean yield (SY) is critical for the producers to determine key factors influencing crop growth for improved precision management decisions. This study aims to quantify the impacts of soybean cyst nemato
Externí odkaz:
https://doaj.org/article/c0ad2c87a8e248ec80bb7d817b7c40a0
Autor:
Yogesh A. Rajwade, Narendra S. Chandel, Abhilash K. Chandel, Satish Kumar Singh, Kumkum Dubey, A. Subeesh, V. P. Chaudhary, K. V. Ramanna Rao, Monika Manjhi
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5623 (2024)
Crop canopy temperature has proven beneficial for qualitative and quantitative assessment of plants’ biotic and abiotic stresses. In this two-year study, water stress identification in okra crops was evaluated using thermal–RGB imaging and AI app
Externí odkaz:
https://doaj.org/article/3f8c82917c484603900d3e0690a7a191
Publikováno v:
Land, Vol 12, Iss 12, p 2188 (2023)
Corn grain moisture (CGM) is critical to estimate grain maturity status and schedule harvest. Traditional methods for determining CGM range from manual scouting, destructive laboratory analyses, and weather-based dry down estimates. Such methods are
Externí odkaz:
https://doaj.org/article/0e82709f27ed485fa779e2787f2013da
Autor:
Behnaz Molaei, R. Troy Peters, Abhilash K. Chandel, Lav R. Khot, Claudio O. Stockle, Colin S. Campbell
Publikováno v:
Water, Vol 15, Iss 13, p 2444 (2023)
Wind drift and evaporation loss (WDEL) of mid-elevation spray application (MESA) and low-elevation spray application (LESA) sprinklers on a center pivot and linear-move irrigation machines are measured and reported to be about 20% and 3%, respectivel
Externí odkaz:
https://doaj.org/article/4b41cabb475740d8a0d3064fc274da63
Workload Assessment of Tractor Operations with Ergonomic Transducers and Machine Learning Techniques
Publikováno v:
Sensors, Vol 23, Iss 3, p 1408 (2023)
Dynamic muscular workload assessments of tractor operators are rarely studied or documented, which is critical to improving their performance efficiency and safety. A study was conducted to assess and model dynamic load on muscles, physiological vari
Externí odkaz:
https://doaj.org/article/34d11227af484c39825a9f2fee409804
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Grape phylloxera (Daktulosphaira vitifoliae, syn. Viteus vitifoliae), a destructive root and foliar pest of grapevines, occurs in almost all viticulture regions worldwide. However, certain regions have remained “phylloxera free.” Until recently,
Externí odkaz:
https://doaj.org/article/7e877f525fcf4854b178ab97ab65e00c
Autor:
Satya Prakash Kumar, V.K. Tewari, Abhilash K. Chandel, C.R. Mehta, Brajesh Nare, C.R. Chethan, Kaustubh Mundhada, Prateek Shrivastava, Chanchal Gupta, Smrutilipi Hota
Publikováno v:
Artificial Intelligence in Agriculture, Vol 4, Iss , Pp 116-126 (2020)
Crop damage during the intra-row weed eradiation is one of the biggest challenges in intercultural agricultural operations. Several available mechanical systems provide effective weeding but result in excess crop damage. On the other hand, chemical b
Externí odkaz:
https://doaj.org/article/f3d1ed6103834f2fbe4d46e7554baeca
Publikováno v:
Artificial Intelligence in Agriculture, Vol 4, Iss , Pp 96-103 (2020)
Agricultural machinery typically requires lower limb actuation forces for operations such as treadling, pedaling and tractor based. However, limited systems exist for assessment of such forces that have ergonomic influence. This study, therefore deve
Externí odkaz:
https://doaj.org/article/79967df998874e778190fdd21630ab80
Autor:
Rakesh Ranjan, Abhilash K. Chandel, Lav R. Khot, Haitham Y. Bahlol, Jianfeng Zhou, Rick A. Boydston, Phillip N. Miklas
Publikováno v:
Information Processing in Agriculture, Vol 6, Iss 4, Pp 502-514 (2019)
The pinto bean is one of widely consumed legume crop that constitutes over 42% of the U.S dry bean production. However, limited studies have been conducted in past to assess its quantitative and qualitative yield potentials. Emerging remote sensing t
Externí odkaz:
https://doaj.org/article/2604d9fbf6814dfdafd56a906c6b7efc
Autor:
Narendra S. Chandel, Yogesh A. Rajwade, Kumkum Dubey, Abhilash K. Chandel, A. Subeesh, Mukesh K. Tiwari
Publikováno v:
Plants, Vol 11, Iss 23, p 3344 (2022)
Timely crop water stress detection can help precision irrigation management and minimize yield loss. A two-year study was conducted on non-invasive winter wheat water stress monitoring using state-of-the-art computer vision and thermal-RGB imagery in
Externí odkaz:
https://doaj.org/article/bb82cf5eb17548758c1dc03c06c70c3e