Book of Extended summaries ISDA

International Conference on Reimagining Rainfed Agro-ecosystems: Challenges &
Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad
farmers in some way. Therefore, in December 2021, a mid-term impact study was conducted
with the same respondents to validate the hypothesis. The study was designed with specific
objectives to understand and examine i) use and reach of FarmPrecise application along with
other digital technologies, ii) changes in agricultural productivity, iii) changes in the cultivation
costs, iv) Comparison between FarmPrecise users and business-as-usual farmers for changes
in crop productivity, v) changes between FarmPrecise users and business-as-usual farmers for
crop losses due to extreme weather events.
The findings showed that the crop productivity of major crops of FarmPrecise users was higher
than that of the business-as-usual farmers. In addition, a few FarmPrecise users reported that
they avoided crop loss due to receiving advanced extreme weather alerts through the mobile
application. Moreover, the average household income from agricultural sources has also
increased compared to the baseline scenario. The real-time weather information, updated
market rates, agriculture news, crop-specific weather-based advisories, farm diary, and
community forum are some of the prominent features of the FarmPrecise application farmers
use to become aware and cope with climate extremes events.
T5-25P-1219
Assessment of Biophysical Parameters and Disease Incidence in Mungbean
Using Hyperspectral Radiometry
M. Prabhakar*, K. A. Gopinath, N. Ravi Kumar, U. Sai Sravan, M. Thirupathi, G.
Sravan Kumar, P. Likhita, S. Madhu Naga Sekhar Reddy and R. Naresh
ICAR-Central Research Institute for Dryland Agriculture, Hyderabad – 500 059, Telangana, India
*m.prabhakar@icar.gov.in
Mung bean (Vigna radiata L.) is an important pulse in India and is often experiencing biotic
stress in the rainy season. Cercospora Leaf Spot (CLS) is an important fungal disease of mung
bean, making its cultivation difficult and causing sizable loss to the production up to 60%
(Bharti et al., 2017). CLS has been found to appear in the epiphytotic form causing enormous
loss to the farmers (Vijaya Bhaskar, 2020). Timely management will help in preventing the
spread of disease. Radiometry offer scope to detect biotic and abiotic stress (Prabhakar et al.,
2013). The spectral features vary noticeably between healthy and infested plants depending on
the extent of damage. Therefore, present study was carried out with an objective to find out the
impact of CLS on biophysical parameters in mungbean using spectral features extraction.
Methodology
A field experiment was carried out in 2018 rainy (kKharif) season at Gungal Research Farm,
ICAR-Central Research Institute for Dryland Agriculture, Hyderabad. The experiment was laid
out in randomized block design with eight nutrient management treatments viz., T 1:
Emerging approaches (RS, AI, ML, Drones etc) for crop management &assessment
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