Multi-criteria Decision Analysis for Site Selection of Apple Crop Cultivation: Case Study of Nainital, Uttarakhand

Upadhyay, Priyadarshi; Bisht, M. P. S.; Uniyal, Divya

doi:10.1007/s12524-021-01470-y

Cited by 4 publications

(1 citation statement)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Handique et al ( 2022) summarize the methodology and results from a large operational study that aimed at expanding area under horticultural crop in North eastern region of India under CHAMAN program of Ministry of Agriculture, Government of India. Upadhyay et al (2022) integrate eight important parameters, namely altitude, chilling temperature, agricultural and use, rainfall, crop growing temperature, soil texture, slope and aspect in GIS framework of analytical hierarchy process (AHP) to map areas suitable for apple crop in Nainital district of Uttarakhand. Rukhsana and Molla (2022) present an evaluation of rice cropping zone in GIS framework using multi-criterion evaluation for 24 Parganas district of West Bengal.…”

Section: Crop Suitability and Zonationmentioning

confidence: 99%

Progress and Challenges in Earth Observation Data Applications for Agriculture at Field Scale in India and Small Farm Holdings Regions

Ray

Dadhwal

Navalgund

2022

J Indian Soc Remote Sens

View full text Add to dashboard Cite

The paper traces the evolution of agricultural remote sensing in India through its four phases: initial exploratory and aerial data based (1969)(1970)(1971)(1972)(1973)(1974)(1975)(1976)(1977)(1978)(1979)(1980)(1981)(1982), IRS Utilization Program led (1983( -1995( ), post-IRS-1C launch (1996( -2011 and since the establishment of a dedicated institution for EO-based crop forecasting and other agricultural applications (2012 onward). Published field-scale studies are discussed before introducing the submissions to the special issue of the journal, namely Advanced Geospatial Technologies for Agriculture with Special emphasis on field level Applications. A total of 17 articles grouped under crop discrimination and mapping, crop yield estimation, crop suitability analysis, irrigation management and others (UAV, fodder and field boundary extraction) and 15 of these describe work over India and remaining two have Iran as their study area. These studies are linked to other published work as well as challenges under major issues of data access, use of UAV, use of smartphones, data processing and crop simulation models. Taken together, these articles report substantial improvements in capabilities of field-scale monitoring for developing new class of agricultural applications in India as well as other regions in the world with small farm holdings.

show abstract

Section: Crop Suitability and Zonationmentioning

confidence: 99%