Accurate and consistent information on the area production of field crops is vital for national state planning ensuring food security in India. Satellite-based remote sensing offers a suitable cost-effective technique regional- national-scale crop monitoring. The use data yield estimation has been demonstrated using semi-physical approach with reasonable success. Assimilating DSSAT model spectral indices-based regression analysis are promising methods spatially estimating rice yields. Rice...

New agronomic opportunities for more informed agricultural decisions and enhanced crop management have been made possible by drone-based near-ground remote sensing. Obtaining precise non-destructive information regarding biophysical characteristics at spatial temporal scales is now possible. Drone-mounted multispectral thermal sensors were used to assess phenology, condition, stress profiling spectral vegetation indices in fields. In this study, indices, viz., Atmospherically Resistant...

Blackgram, a protein-rich pulse crop (24%), is crucial for combating food insecurity, particularly in malnourished and economically weak countries. Enhancing blackgram production requires improved, input-saving management practices. Given the challenges of climate change population growth, efficient water vital increasing productivity use efficiency with minimal investment. This study aimed to identify cost-effective irrigation methods optimise yields. Experiments were conducted at National...

Abstract A field study was conducted to investigate the persistence of foliar-applied thiamethoxam 25% WG at a rate 25 g ai ha −1 and chlorantraniliprole 18.5% SC 30 in various parts rice plants, including whole grain rice, brown bran, husk, straw, cooked rice. Liquid Chromatography-Mass spectrometry/Mass spectrometry used for sample analysis. Chlorantraniliprole residues were found persist grains, straw time harvest, while residue not detected harvested processed products, or straw. The...

Synthetic aperture radar (SAR) imagery, notably Sentinel-1A’s C-band, VV, and VH polarized SAR, has emerged as a crucial tool for mapping rice fields, especially in regions where cloud cover hinders optical imagery. Employing multi-temporal characteristics, SAR data were regularly collected parameterized using MAPscape-Rice software, which integrates fully automated processing chain to convert the into terrain-geocoded σ° values. This facilitated generation of area maps through rule-based...

Evapotranspiration is a vital process that substantially sustains the hydrothermal balance. The spatial and temporal distribution of evapotranspiration critical for management water resources drought monitoring at regional scale. Surface Energy Balance Algorithm Land (SEBAL) was employed to compute daily actual in lower Bhavani basin using Landsat 8 imagery, weather data digital elevation model. study aimed analyze evapotranspiration. In addition, influence surface parameters such as albedo,...

Evapotranspiration is a crucial component of the hydrological cycle and profoundly influenced by climate change. Assessing regional evapotranspiration changes essential for effective water resource management. The study investigated dynamics reference in Lower Bhavani Basin, region with diverse landscapes increasingly vulnerable to climatic variability. Reference data from Food Agriculture Organization using AgERA5 dataset was analyzed assess annual seasonal trends 2000 2022. result showed...

A field experiment was conducted in a randomized complete block design to screen the optimum spray fluid of herbicide application for drone based on visual toxicity and weed control efficiency maize (Zea mays L.) during summer season (March 2021) at eastern farms Tamil Nadu Agricultural University, Coimbatore, Nadu. Three treatments namely Atrazine, Tembotrione 2, 4-D with recommended dosages, 75% 125% as pre-emergence herbicides applied 3 days after, early post-emergence 15 after sowing 25...

Crop simulation models are often used to characterize, develop and assess field crop production practices. The present study was carried out for chickpea spatial yield estimation at Vidisha of Madhya Pradesh Nagaur district Rajasthan employing the DSSAT model. In this study, DSSAT-CROPGRO module estimate during rabi 2022. To simulate yield, required datasets growth management, daily weather data, soil data were provided. simulated validated using observed through CCEs from farmers’ fields....

Maize is a global staple crop, impacting food security, economic development, and agricultural sustainability. This study investigates the integration of Sentinel-1A Synthetic Aperture Radar (SAR) data with DSSAT CERES-Maize crop simulation model to estimate Leaf Area Index (LAI) rabi maize yield in Belagavi district, Karnataka. Field data, including LAI, days anthesis, silking, grain filling, farmers' field practices, were collected for calibration validation, supplemented by crop-cutting...

Precision farming has been revolutionized by advancements in drone technology and remote sensing, enabling high accuracy real-time crop monitoring yield prediction. To explore the potential of drone-based sensing for predicting rice assessment vegetation indices were generated analyzed to identify most sensitive Laef Area Index (LAI), chlorophyll content, biomass. The experiment was conducted two seasons, Kuruvai (July - November 2023) Navarai (December 2023 March 2024). In 2023, a positive...

The experiment was conducted during rainy (kharif) seasons of 2020 and 2021 at Tamil Nadu Agricultural University, Coimbatore, to study the efficacy new generation herbicide mixtures in irrigated maize (Zea mays L.). laid out a randomized complete block design (RCBD) consisted 9 treatments including pre-emergence herbicides, post emergence herbicides other weed management practices [T1, Weedy check; T2, Weed free T3, Spraying atrazine @1 kg/ha as + Hand weeding on 25 DAS (days after sowing);...

A spatiotemporal analysis of water spread areas in tanks within the lower Vaigai sub-basin was performed using Sentinel-1A SAR imagery from 2018 to 2023. The revealed a mean area 275.29 ha, with highest being 628.29 ha summer 2023 and lowest at 5.55 2018. This influenced by total rainfall 5777.06 mm, an average 879.14 mm annually. NDVI data Sentinel-2 categorized crop health across 74.5 thousand showing high no vegetation (20-45 %) sparse (24-33 during Kharif season. Rabi season exhibited...

Estimation of evapotranspiration spatially is mandatory for water budgeting and resource monitoring based on crop demand. The amount can be estimated from reference fractional vegetation cover over the region. incorporation specific characteristics like spatial variability land produced highly reliable results. AquaCrop model gives climatic parameters temperature, rainfall, solar radiation, relative humidity elevation. Normalized Difference Vegetation Index (NDVI) depicts health ranging -1...

Poor seed set and filling is one of the most common problems encountered in sunflower cultivation. The yield could be increased to a considerable extent by using brassinolide, plant growth promoting substance, isolated from pollen rape, which prevents formation empty achenes, thus increasing number filled seeds. Field experiments were carried out at Tamil Nadu Agricultural University, Coimbatore, India during summer (March–May) South West Monsoon (June– September) seasons 1997 study effect...

Crop simulation models were often used to characterize the growth and development of a crop access field production practices. The aim this study is calibrate evaluate rabi sorghum genotype under rainfed condition in Viruthunagar Thoothukudi districts Tamil Nadu using DSSAT model. requires weather soil file area, details management practices genetic coefficient specified simulate yield. In study, data from six trials with three different planting dates at area was model for season 2019...

A research study was conducted for estimating the water spread area of tanks in Cheyyar sub basin year 2022. Tanks are low-cost irrigation source and play a key role recharge ground water. Mapping regular monitoring plays an important resource planning. Sentinel-1A SAR data has high potential as it is unaffected by cloud cover, light or weather conditions. After processing obtained satellite using SNAP software, threshold approach. The backscattering (dB) value ranged between -30.641 22.898...

Since remote sensing based crop inventory provides accurate and timely information as compared to the conventional survey methods of estimating area, Multi-temporal Sentinel 1A Synthetic Aperture Radar data was used for estimation rice area during Samba season 2022 in Cauvery delta zone comprising Thanjavur, Thiruvaru, Mayiladuthurai, Nagapatnam districts Tamil Nadu. SAR preferred over optical satellite due excess cloud cover cropping major Temporal back-scatter (dB) signature generated from...

A field experimental study was conducted during summer season (2023) at Eastern farm of Tamil Nadu Agricultural University, Coimbatore to evaluate suitable irrigation method for black gram. The experiment laid out in a strip plot design which comprise main treatments such as M1 – Drip Irrigation, M2 –Micro sprinkler M3 Rain hose Irrigation and M4 Conventional subplot consists different depths placement soil moisture sensor viz., D1 5 cm , D2 10 D3 15 cm. growth attributes plant height,...