Mohan Krishna Chowdry A*
B. Sc (Honours) Agriculture, Agricultural College and Research Institute, Thiruvannamalai, Tamil Nadu Agricultural University, Coimbatore, India
*Corresponding Author: Mohan Krishna Chowdry A, B. Sc (Honours) Agriculture, Agricultural College and Research Institute, Thiruvannamalai, Tamil Nadu Agricultural University, Coimbatore, India.
Received: September 23, 2021; Published: October 21, 2021
India is a sub-continent with rich biodiversity and diverse Agro-climatic zones. Agriculture has emerged as the largest private-sector occupation in India. The agriculture sector contributes about 19.9% of GDP in 2020-21 which abruptly increased from 17.8% in 2019-20 to the Indian economy. Further, the percentage share of Gross Value Added (GVA) of agriculture and allied sector to total economy has shifted from 18.4 in 2019-20 to 20.2 in 2020-21 thereby fondly known as the backbone of the Indian economy. Indian agriculture faces many challenges such as unpredictable weather patterns, falling water tables, reduction in arable land, decreasing farm sizes, low per hectare yield, a very long supply chain (dominated by middlemen), increasing pest and disease attacks etc. Of these, the most important threat faced by farmers during crop production is due to biotic stresses like pests and diseases, weeds and nematodes. The major crop loss is due to weeds (37%), insects (29%), diseases (22%), others (12%) (Source: Kurukshetra, 2011). According to FAO, at least 40% crops lost to pests every year. Knowing the importance of agriculture, we are in an alarming situation to alleviate the difficulties faced by farmers especially concerning pests and diseases.
Keywords: In vitro Culture; Leaf; Mersin; Phaseolus vulgaris L.; Stem
Citation: Mohan Krishna Chowdry A. “Quintessential Frameworks to Enable Farmers to Easily Identify Pests and Diseases on their Own". Acta Scientific Agriculture 5.11 (2021): 15-16.
Copyright: © 2021 Mohan Krishna Chowdry A. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.