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The field of horticulture, vital for addressing global challenges like food security and sustainable agriculture, has been revolutionized by remote sensing technology. This comprehensive review explores the transformative impact of remote sensing on horticulture, emphasizing its role in optimizing resource utilization, promoting environmental sustainability, and mitigating the effects of climate change. Remote sensing, encompassing a range of sensors, satellites, and data analysis techniques, enables the collection of critical information from a distance, providing insights into crop health, soil conditions, water availability, and more. Precision agriculture, including the use of GPS and GIS, is integrated with remote sensing to enhance agricultural efficiency while minimizing environmental impacts. Site-Specific Crop Management (SSCM) is highlighted as a key component of precision agriculture, enabled by geospatial technologies, including remote sensing. It discusses how remote sensing systems, with their multispectral and multi-temporal capabilities, support various horticultural applications such as crop yield estimation, abiotic and biotic stress management, crop classification, canopy measurement, crop area estimation, and even crop insurance validation. The use of Geographic Information Systems (GIS) and the Global Positioning System (GPS) in tandem with remote sensing is explored in the context of spatial analysis, mapping, and precise navigation.
RESUMO
The experiment was carried out in a Pongamia pinnata-based agroforestry system to assess the impact of land use systems, sowing dates, and wheat varieties on wheat cultivation at the Forestry Research Farm, JNKVV, Jabalpur during the Rabi season of 2021-22 The experiment followed a three-factor double split plot design with two systems (open system and agroforestry system) as the main plot, three sowing dates (12th November, 27th November, and 12th December) as subplots, and two wheat varieties (MP-3336 and GW-322) as sub-sub plots. The results showed that the open system outperformed the agroforestry system in terms of plant population, plant height at harvest, grain yield, straw yield, biological yield, and harvest index. Early-sown wheat consistently showed better performance in most parameters compared to timely-sown and late-sown varieties. Among the wheat varieties, the MP-3336 variety exhibited higher plant population, while the GW-322 variety showed taller plants at harvest, longer spikes, higher grain yield, and better harvest index. These findings provide valuable insights into optimizing wheat cultivation in agroforestry systems and emphasize the importance of considering land use systems, sowing dates, and wheat varieties to maximize crop productivity.
RESUMO
Remote sensing has played a vital role in advancement of agriculture and is effective technical method for agriculture crop management. It is a technology which acquisite information regarding objects on earth surface as well as atmosphere from a distance without being in contact with the object. Researchers have proved its high potential with accuracy in the field of agriculture. After various experiments, the qualitative and quantitative assessment of soil, crop and atmosphere demonstrated the better understanding between the crop and its management practices. The collected spatial and temporal data via various passive and active sensors has been utilized not only for morphological study but also for monitoring the vegetation moisture content. The paper reviews about the potential studies carried out to investigate the water content in plant to make use in irrigation management. Diverse spectral reflectance indices have been mentioned from which special emphasis on NDWI has been given. It is an index which is used in remote sensing to assess the crop water status and can be utilized in efficient operation of irrigation to improve water use efficiency (WUE) in agriculture. In order to make irrigation practices more efficient by making the lab restricted irrigation scheduling methods like IW:CPE method applicable in regular practice by using remote sensing. This paper firstly identifies areas where researches and techniques have real-world application. Next, it identifies actual issues that remote sensing could address and solve with further research and its related development. All opportunities for managing agricultural water resources effectively to be explored and made successful through precision agriculture. Using the fast, impartial and reliable information offered by remote sensing is a significant difficulty in the field of water resource management.