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1

Zhao, Xin, Kazuya Nishina, Haruka Izumisawa, Yuji Masutomi, Seima Osako, and Shuhei Yamamoto. "Monsoon Asia Rice Calendar (MARC): a gridded rice calendar in monsoon Asia based on Sentinel-1 and Sentinel-2 images." Earth System Science Data 16, no. 8 (2024): 3893–911. http://dx.doi.org/10.5194/essd-16-3893-2024.

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Abstract. An accurate and spatially explicit large-scale rice calendar can enhance the understanding of agricultural practices and their ecological services, particularly in monsoon Asia. However, currently available global- or continental-scale rice calendars suffer from coarse resolution, poor recording, and outdated information; thus, they do not provide detailed and consistent information on rice phenology. To address this limitation, this study mapped a new (2019–2020) gridded (0.5°×0.5° resolution) rice calendar for monsoon Asia based on Sentinel-1 and Sentinel-2 satellite images. The no
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2

Sunil, V. G., Abhilash Nandan, R. Aswathi Krishna, et al. "GIS Based Mapping for a Better Crop Planning for Perumpadappu Block of Ponnani Kole Lands in Kerala." Asian Journal of Agricultural Extension, Economics & Sociology 41, no. 7 (2023): 68–80. http://dx.doi.org/10.9734/ajaees/2023/v41i71945.

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Kole lands are one of the biggest saline, humid tropical wetland ecosystems. It spreads across Thrissur and Malappuram districts of Kerala state. They serve as a water storage structure during rainy season. After rains, the stored water is dewatered and circulated in various Kole padasekarams and channels to cultivate paddy. However, the problem is the lack of a proper water management plan resulting in crop loss. The current study is conducted in the Perumpadappu block of Ponnani Kole lands in Malappuram district. In this study, both GIS and Remote sensing technology have been collaborated to
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3

Khatua, Rajashree, A. Nanda, A. K. B. Mohapatra, A. Mahapatra, V. Guhan, and P. Praveenkumar. "District Level Crop Weather Calendars and Advisories for Kharif Rice in Odisha, India." International Journal of Environment and Climate Change 14, no. 11 (2024): 619–36. http://dx.doi.org/10.9734/ijecc/2024/v14i114573.

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The crop weather calendar is a visual depiction of key facts about crop growth phases, typical crop water requirements, and alerts that should be sent out in response to weather that is conducive to the spread of pests and diseases. Farmers and other stakeholders may successfully plan crops, schedule irrigation, and take plant protection measures by using these calendars, which are practical and helpful tools for farmers. The crop weather calendars are prepared in different languages for better understanding to farmers and explain the usage importance and plan farm operation and activities by
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4

Irawan, Amalia Nafisah Rahmani, and Daisuke Komori. "Beyond Fixed Dates and Coarse Resolution: Developing a Dynamic Dry Season Crop Calendar for Paddy in Indonesia from 2001 to 2021." Agronomy 14, no. 3 (2024): 564. http://dx.doi.org/10.3390/agronomy14030564.

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There is valuable information that can be obtained beyond using a fixed crop calendar with coarse spatial resolution. Knowing the dynamics of the timing and location in which a particular crop is planted and harvested, with an annual temporal resolution and a fine spatial resolution, is crucial not only for monitoring crop conditions and production but also for understanding crop management under changing climates. In this study, the Normalized Difference Vegetation Index (NDVI) was utilized to develop a historical crop calendar for paddy in Indonesia with a 1 km resolution from 2001 to 2021.
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5

N. P. SINGH, D. DAS CHAUDHURI, and S. BISWAS. "Crop calendar with the use of meteorological data in Tripura." Journal of Agrometeorology 11, no. 2 (2009): 183–87. http://dx.doi.org/10.54386/jam.v11i2.1250.

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The meteorological data recorded during the period from 1992 to 2006 were used for preparing crop calendar in Tripura. Maximum and minimum temperatures in the state varying from 22.4 to 35.60C and 9.3 to 26.10C, respectively. The crops, rice, maize, oil seeds, pulses, vegetables, mushrooms, tuber crops, fibre crops and fruits were considered in this calendar. Growing seasons for different kinds of mushrooms were determined for better productivity.
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6

Patel, J. H., and M. P. Oza. "Deriving crop calendar using NDVI time-series." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 869–73. http://dx.doi.org/10.5194/isprsarchives-xl-8-869-2014.

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Agricultural intensification is defined in terms as cropping intensity, which is the numbers of crops (single, double and triple) per year in a unit cropland area. Information about crop calendar (i.e. number of crops in a parcel of land and their planting & harvesting dates and date of peak vegetative stage) is essential for proper management of agriculture. Remote sensing sensors provide a regular, consistent and reliable measurement of vegetation response at various growth stages of crop. Therefore it is ideally suited for monitoring purpose. The spectral response of vegetation, as meas
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7

Gehlot, Tanisha, Sita Ram Mishra, Amrendra Kumar Yadav, and Prince Chaudhary. "Studies on Crop Weather Calendar of Brinjal Crop in Eastern Uttar Pradesh, India." Journal of Experimental Agriculture International 46, no. 6 (2024): 816–23. http://dx.doi.org/10.9734/jeai/2024/v46i62535.

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An investigation was carried out on studies of crop weather calendar on brinjal crop in Eastern Uttar Pradesh has been prepared with objectives to study climatic normal of past 21 years from 2000-21 at Department of Agricultural Meteorology, College of Agriculture, Acharya Narendra Dev University of Agriculture and Technology, Ayodhya, Uttar Pradesh. Climatic data for brinjal crop in Kharif season has been taken from 27th to 48th Standard Meteorological Week (SMW). From the crop weather calendar of brinjal, it was revealed that low temperatures are lethal for brinjal seedlings, so temperature
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8

Meharie, Enyew Azene, Mintesinot Azene Taye, Adane Tesfaye Lema, and Melkamu Meseret Alemu. "Extreme rainfall indices and their consequences on the local farming crop calendar: An agro-climatic zone based study." Advances in Modern Agriculture 4, no. 2 (2024). http://dx.doi.org/10.54517/ama.v4i2.2312.

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<p>The goal of this study is to investigate the extreme rainfall indices and their consequences on the local farming crop calendar among agro-climatic zones (ACZs) of the Abiya watershed. Climate Hazards Group Infrared Precipitation (CHIRPS) provided long-term (1981–2019) rainfall data for 50 sample grid points with a spatial resolution of 5 × 5 km. Different crops are affected differently by the same extreme rainfall event depending on when it occurred and how extreme it was; this means crop calendars for a specific time may be properly governed by extreme climatic conditions. There has
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9

Muhammad, Imran, Basit Iqra, Riaz Khan Mobushir, and Rasheed Ahmad Sajid. "Analyzing the Impact of Spatio-Temporal Climate Variations on the Rice Crop Calendar in Pakistan." International Journal of Biological, Life and Agricultural Sciences 11.0, no. 6 (2018). https://doi.org/10.5281/zenodo.1317168.

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The present study investigates the space-time impact of climate change on the rice crop calendar in tropical Gujranwala, Pakistan. The climate change impact was quantified through the climatic variables, whereas the existing calendar of the rice crop was compared with the phonological stages of the crop, depicted through the time series of the Normalized Difference Vegetation Index (NDVI) derived from Landsat data for the decade 2005-2015. Local maxima were applied on the time series of NDVI to compute the rice phonological stages. Panel models with fixed and cross-section fixed effects were u
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10

Pandey, Anushka, A. K. Singh, A. N. Mishra, and S. R. Mishra. "Study on Crop-weather Calendar of Wheat for Eastern Plain Zone of Uttar Pradesh." International Journal of Environment and Climate Change, July 9, 2022, 224–30. http://dx.doi.org/10.9734/ijecc/2022/v12i1130965.

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An investigation entitled “Study on Crop-weather calendar of wheat crop for eastern plain zone of Uttar Pradesh” was carried out at the Department of Agricultural Meteorology, ANDUA&T, Kumarganj, Ayodhya. Crop weather calendar for wheat crop has been prepared for district Sultanpur through the collection of historical weather data of last 20 years (2000- 2020). Crop weather calendar of wheat was formulated by combining the weekly climatic averages and phenological calendar for the crop along with optimum weather criteria needed at different phenological stages of the crop. Climatic normal
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11

Wakai, Atsushi, Eri Tanaka, and Gen Sakurai. "Construction of digital databases of crop‐growing calendars for Japanese crops." Ecological Research, March 26, 2025. https://doi.org/10.1111/1440-1703.12553.

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AbstractAccurate information on agricultural productivity is crucial to addressing the challenges faced by agriculture, including pest threats and climate change. Crop‐growing calendars represent a vital source of information for understanding and managing agroecosystems and for enhancing agricultural productivity. This information is also essential for studying the relationship between crop growth stages and pest activity patterns, which is crucial for developing effective pest management strategies. This study systematically digitized the Japanese government's publicly available paper‐based
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12

Vennila, S., Ranjit Kumar Paul, M. N. Bhat, et al. "Approach to study of pigeonpea leaf webber [Grapholita critica (Meyr.)] damage dynamics and its relation to weather." Legume Research An International Journal, no. 00 (January 30, 2018). http://dx.doi.org/10.18805/lr-3937.

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Investigation of the published data of a field experiment on assessment of damage due to leaf webber (Grapholita critica (Meyr.)Torticidae:Lepidoptera) under seven different sowing periods at weekly intervals between June IV to August II weeks of 2013-14 at Gulbarga (Karnataka) and observations on leaf webber damage recorded on weekly basis between 32 and 42 standard meteorological weeks (SMW) was done to demonstrate appropriate analytical methodology for an improved understanding of seasonal dynamics of G. critica damage and its relation to weather. Approach to analyses included reporting of
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13

"Calendar." Crop Protection 21, no. 10 (2002): 1119. http://dx.doi.org/10.1016/s0261-2194(02)00216-8.

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14

"Calendar." Crop Protection 22, no. 1 (2003): 215. http://dx.doi.org/10.1016/s0261-2194(02)00233-8.

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15

"Calendar." Crop Protection 22, no. 2 (2003): 443–44. http://dx.doi.org/10.1016/s0261-2194(03)00022-x.

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16

"Calendar." Crop Protection 22, no. 3 (2003): 577–78. http://dx.doi.org/10.1016/s0261-2194(03)00059-0.

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"Calendar." Crop Protection 22, no. 4 (2003): 687–88. http://dx.doi.org/10.1016/s0261-2194(03)00077-2.

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18

"Calendar." Crop Protection 22, no. 5 (2003): 805–6. http://dx.doi.org/10.1016/s0261-2194(03)00105-4.

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"Calendar." Crop Protection 22, no. 6 (2003): 901–2. http://dx.doi.org/10.1016/s0261-2194(03)00130-3.

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20

"Calendar." Crop Protection 22, no. 7 (2003): 1003–4. http://dx.doi.org/10.1016/s0261-2194(03)00154-6.

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21

"Calendar." Crop Protection 22, no. 8 (2003): 1069–70. http://dx.doi.org/10.1016/s0261-2194(03)00184-4.

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22

"Calendar." Crop Protection 22, no. 9 (2003): 1139–40. http://dx.doi.org/10.1016/s0261-2194(03)00228-x.

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23

"Calendar." Crop Protection 22, no. 10 (2003): 1185–86. http://dx.doi.org/10.1016/s0261-2194(03)00249-7.

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24

"Calendar." Crop Protection 23, no. 1 (2004): 75–76. http://dx.doi.org/10.1016/s0261-2194(03)00271-0.

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"Calendar." Crop Protection 23, no. 2 (2004): 181–82. http://dx.doi.org/10.1016/s0261-2194(03)00295-3.

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26

"Calendar." Crop Protection 23, no. 3 (2004): 273–74. http://dx.doi.org/10.1016/s0261-2194(04)00014-6.

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"Calendar." Crop Protection 23, no. 4 (2004): 369–70. http://dx.doi.org/10.1016/s0261-2194(04)00034-1.

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"Calendar." Crop Protection 23, no. 5 (2004): 479–80. http://dx.doi.org/10.1016/s0261-2194(04)00061-4.

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"Calendar." Crop Protection 23, no. 6 (2004): 563–64. http://dx.doi.org/10.1016/s0261-2194(04)00089-4.

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"Calendar." Crop Protection 23, no. 7 (2004): 659–60. http://dx.doi.org/10.1016/s0261-2194(04)00108-5.

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31

"Calendar." Crop Protection 23, no. 8 (2004): 737–38. http://dx.doi.org/10.1016/s0261-2194(04)00133-4.

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"Calendar." Crop Protection 23, no. 9 (2004): 879–80. http://dx.doi.org/10.1016/s0261-2194(04)00161-9.

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"Calendar." Crop Protection 23, no. 10 (2004): 1015–16. http://dx.doi.org/10.1016/s0261-2194(04)00177-2.

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"Calendar." Crop Protection 23, no. 11 (2004): 1155–56. http://dx.doi.org/10.1016/s0261-2194(04)00207-8.

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"Calendar." Crop Protection 23, no. 12 (2004): 1267–68. http://dx.doi.org/10.1016/s0261-2194(04)00249-2.

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"Calendar." Crop Protection 24, no. 1 (2005): 91–92. http://dx.doi.org/10.1016/s0261-2194(04)00272-8.

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"Calendar." Crop Protection 24, no. 2 (2005): 195–96. http://dx.doi.org/10.1016/s0261-2194(04)00288-1.

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"Calendar." Crop Protection 24, no. 3 (2005): 293–96. http://dx.doi.org/10.1016/s0261-2194(05)00013-x.

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"Calendar." Crop Protection 24, no. 4 (2005): 391–96. http://dx.doi.org/10.1016/s0261-2194(05)00045-1.

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"Calendar." Crop Protection 24, no. 5 (2005): 495–98. http://dx.doi.org/10.1016/s0261-2194(05)00075-x.

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"Calendar." Crop Protection 24, no. 6 (2005): 597–600. http://dx.doi.org/10.1016/s0261-2194(05)00099-2.

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"Calendar." Crop Protection 24, no. 7 (2005): 692–93. http://dx.doi.org/10.1016/s0261-2194(05)00132-8.

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"Calendar." Crop Protection 24, no. 8 (2005): 768–69. http://dx.doi.org/10.1016/s0261-2194(05)00161-4.

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"Calendar." Crop Protection 24, no. 9 (2005): 851–52. http://dx.doi.org/10.1016/s0261-2194(05)00180-8.

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"Calendar." Crop Protection 24, no. 10 (2005): 937–38. http://dx.doi.org/10.1016/s0261-2194(05)00212-7.

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46

"Calendar." Crop Protection 24, no. 11 (2005): 1021–22. http://dx.doi.org/10.1016/s0261-2194(05)00234-6.

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47

"Calendar." Crop Protection 24, no. 12 (2005): 1078–79. http://dx.doi.org/10.1016/s0261-2194(05)00272-3.

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48

"Calendar." Crop Protection 25, no. 1 (2006): 87–88. http://dx.doi.org/10.1016/s0261-2194(05)00291-7.

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"Calendar." Crop Protection 25, no. 2 (2006): 192–93. http://dx.doi.org/10.1016/s0261-2194(05)00320-0.

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"Calendar." Crop Protection 25, no. 3 (2006): 296–97. http://dx.doi.org/10.1016/s0261-2194(06)00006-8.

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