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Mushrooms are precious fungi, which exists as an important and integral component of the ecosystem. They are the macro or larger fungi which possess fleshy, subfleshy, or sometimes leathery, umbrella like fructifications, which bear their spore producing surface either on lamellae (gills) or lining the tubes, opening out by means of pores. Usually the lamellate members are called ‘mushrooms’ or “toadstools’ depending upon whether or not they are edible or poisonous and therefore the tube bearing poroid members, as boletes. Mushrooms are seasonal fungi, which occupy diverse niches in nature within the forest ecosystem. Different types of edible mushrooms are cultivated on large scale for commercial use and many more species of mushrooms grow wildly in nature which has much nutritional and medicinal value. They predominantly occur during the season and also during spring when the snow melts. In the globe, biodiversity includes not only many species that exist, but also the range of populations that makeup a species and the genetic diversity among individual life forms. Macrofungi are important economically due to their importance in food, medicine, biocontrol, chemical, biological and other industries. Macrofungi are diverse in their uses as food and medicine and a number of other species function as decomposers and also form mycorrhizal associations.

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India is a land of agriculture where they constitute a major part of the country's economy. The primary sector accounts for 18% of GDP in 2018 and employs more than 50% of countrymen. As per 2014, Crop productivity contributed 31% of GDP. To increase economic efficiency, the crop must be healthy. Crop production problems are very common which severely affects the productivity resulted in the loss to the rural farmers and the agriculture sector. Leaf plays an important role as it gives information about the quantity and quality of agriculture yield in advance depending upon the condition of the leaf. Therefore, early detection and diagnosis of plant diseases are very important. Plant diseases often appear on the leaves, and the characteristics of the affected leaves can be varied and difficult to distinguish. Various techniques are used to identify the diseases among leaves but the developed automated system is an advanced system that helps to find the total infected area and hence calculates the percentage of infection and improving the learning process to distinguish the disease. The proposed system is validated with Kaggle -plant village dataset (corn species) containing 3852 images. The dataset includes both infected as well as healthy leaves. We implemented the image enhancement techniques such as CLAHE algorithm and clustering process to extract features and keras sequential model to classify whether the leaf is diseased or healthy. Our model is 91%accurate to produce the testing results.

Thirteen genotypes of brinjal were collected from various places of Tamil Nadu and other states and evaluated during September 2017-January 2018. Among these, the plant height of the genotypes ranged between 72.93cm (Utkal Anushree) to 95.84 cm (Bhavani Gold), Number of branches was found be highest in IC 3749281 (7.75), ABSR 2 recorded the least number of days to first flowering (43.15 days), Karur Local showed the least value of 64.46 days for days to first harvest among the genotypes, Thevur Local recorded the maximum fruit length of 12.95 cm, Mattu Gulla showed the highest value of fruit girth (17.44 cm) and individual fruit weight (88.67 g). The maximum number of fruits was recorded in ABSR 2 (39.75), the shoot borer infestation was found to least in IC 374928-1 (11.28 %) and least value for fruit borer infestation was observed in Karur Local (14.16 %) and ABSR 2 (14.87 %). Among the genotypes evaluated, the highest marketable yield was recorded in Karur Local (2.60 kg) followed by Bhavani Gold (2.15 kg).