Remote Sensing as a Management and Monitoring Tool for Agriculture: Potential Applications
Atufa Ashraf
Division of Plant Pathology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, India.
Latief Ahmad
Agromet Cell, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, India.
Khalid Ferooz
Division of Fruit Science, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, India.
Shazia Ramzan
KVK, Anantnag, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, India.
Ifra Ashraf
*
College of Agricultural Engineering and Technology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, India.
Junaid N. Khan
College of Agricultural Engineering and Technology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, India.
Efath Shehnaz
Dryland Agricultural Research Station, Rangreth, SKUAST-Kashmir, India.
Mifta Ul-Shafiq
Climate and Cryoshpere Group, Department of Geography and Regional Development, University of Kashmir, India.
Sabia Akhter
Agronomy, KVK, Budgam, India.
Ambreen Nabi
Vegetable Science, KVK, Budgam, India.
Rehana Rasool
Division of Soil Science, Faculty of Agriculture, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, India.
Shaista Nazir
Division of Soil Science, Faculty of Horticulture, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, India.
*Author to whom correspondence should be addressed.
Abstract
Remote sensing technology has revolutionized agriculture management and monitoring by providing valuable information on crop health, soil conditions, weather patterns, and overall land management. The reflectance data are progressively being exploited in agriculture with the momenta gained in ground-based, airborne, and satellite remote sensing. The agriculture systems when managed conventionally don’t facilitate the proper utilization of resources and productivity potential of the soil. However, taking the aid of remote sensing techniques helps in boosting the productivity potential of the soil and optimizing the inputs. This paper aims to review the potential applications of remote sensing in agriculture and its role in improving productivity, resource efficiency, and sustainability. The paper discusses various remote sensing techniques, including satellite imagery, aerial photography, and sensor-based data collection, and their integration with advanced data analysis methods. The applications explored include biomass estimation, yield estimation, global food demand, salinity stress detection, drought monitoring, soil moisture content assessment, and change detection. The paper highlights the benefits and challenges associated with each application and provides insights into future research directions and technology advancements in the field of remote sensing for agriculture.
Keywords: Agriculture, remote sensing, yield estimation, vegetation indices, satellite data, global food demand.