Production estimation of horticultural crops using irs-1d liss-iii data

Rao, P. Parthasarathy; Ravishankar, H. M.; Raj, Uday; Nagajothi, K.

doi:10.1007/bf03030864

Cited by 14 publications

(8 citation statements)

References 8 publications

(7 reference statements)

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“…One study, Nageswara Rao et al (2004) , reported that bananas and coconuts have close greenness profiles in mid-April, but have rather distinct greenness profiles in mid-March. Another study Chavez & MacKinnon (1994) reported that red band image differencing provided better change detection results for vegetation than red data when using the NDVI in arid and semi-arid environments of south-western United States.…”

Section: Vegetationmentioning

confidence: 99%

Remote sensing and spatial statistical techniques for modellingOmmatissus lybicus(Hemiptera: Tropiduchidae) habitat and population densities

Al‐Kindi

Kwan

Andrew

et al. 2017

PeerJ

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In order to understand the distribution and prevalence of Ommatissus lybicus (Hemiptera: Tropiduchidae) as well as analyse their current biographical patterns and predict their future spread, comprehensive and detailed information on the environmental, climatic, and agricultural practices are essential. The spatial analytical techniques such as Remote Sensing and Spatial Statistics Tools, can help detect and model spatial links and correlations between the presence, absence and density of O. lybicus in response to climatic, environmental, and human factors. The main objective of this paper is to review remote sensing and relevant analytical techniques that can be applied in mapping and modelling the habitat and population density of O. lybicus. An exhaustive search of related literature revealed that there are very limited studies linking location-based infestation levels of pests like the O. lybicus with climatic, environmental, and human practice related variables. This review also highlights the accumulated knowledge and addresses the gaps in this area of research. Furthermore, it makes recommendations for future studies, and gives suggestions on monitoring and surveillance methods in designing both local and regional level integrated pest management strategies of palm tree and other affected cultivated crops.

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Section: Vegetationmentioning

confidence: 99%

Remote sensing and spatial statistical techniques for modellingOmmatissus lybicus(Hemiptera: Tropiduchidae) habitat and population densities

Al‐Kindi

Kwan

Andrew

et al. 2017

PeerJ

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“…Remote sensing plays a pivotal role in assessing the supply scenario. For instance, when it comes to crops like potatoes, which are grown in extensive contiguous fields, remote sensing can estimate their area and production with an accuracy exceeding 90% [47]. However, estimating the area under mango orchards, particularly those with trees older than five years, is relatively straightforward using remote sensing.…”

Section: Remote Sensing For Crop Area Estimationmentioning

confidence: 99%

Transformative Role of Remote Sensing in Advancing Horticulture: Optimizing Sustainability, Efficiency and Resilience

Rai,

Karada,

Mishra

et al. 2023

IJECC

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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.

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“…Recent developments in the improvised resolutions of satellite sensors the horticulture remote sensing have been directed towards new heights (Marinelli, Scavuzzo, Giobellina & Scavuzzo, 2019). Further (Rao, Ravishankar, Raj & Nagajothi, 2004), in their study, attempted to estimate the date of harvest of some fruit crops along with their production estimation. A simple assessment with the help of remote sensing has been made in the Study region.…”

Section: Growth Of Area Under Horticulturementioning

confidence: 99%

Land Use Land Cover Change Detection and Measuring Horticulture Expansion through Remote Sensing and GIS Techniques in Rambiara Catchment, Kashmir Valley, India

Khursheed¹,

Taufique²

2021

Creat. Sp.

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Horticulture industry is backbone of the economy of the Jammu and Kashmir, it has increased spontaneously from a recent couple of decades and had immensely impacted the socio-economic conditions of the inhabitants of the Rambiara Catchment. The study aimed to identify the varied land use and land cover categories prevailing over the Rambiara catchment and attempted to study the temporal changes. Multispectral images of the Landsat 7 and Landsat 8 were brought into use by making the LULC classes through the maximum supervised classification for the images of year 1999 and year 2019. Whole the study area was classified into eight major land cover categories i.e., Horticulture, Settlement, Water, Riverbed, Dense Forests, Sparce Forests and Waste Lands. The results obtained depicted that there was a large-scale positive change observed by the land cover categories of Horticulture +172.67 percent, Settlement +112.06 percent and sparse forest by +28.44 percent. The horticulture remained the highest achiever over the last 20 years and this is because of the high cash value realized from fruits, less agricultural production obtained from crops other than fruits and also due to changing climatic.

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Production estimation of horticultural crops using irs-1d liss-iii data

Cited by 14 publications

References 8 publications

Remote sensing and spatial statistical techniques for modellingOmmatissus lybicus(Hemiptera: Tropiduchidae) habitat and population densities

Remote sensing and spatial statistical techniques for modellingOmmatissus lybicus(Hemiptera: Tropiduchidae) habitat and population densities

Transformative Role of Remote Sensing in Advancing Horticulture: Optimizing Sustainability, Efficiency and Resilience

Land Use Land Cover Change Detection and Measuring Horticulture Expansion through Remote Sensing and GIS Techniques in Rambiara Catchment, Kashmir Valley, India

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